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100644 _sass/utilities/_utils.scss create mode 100644 _sass/utilities/_variables.scss create mode 100644 config.md delete mode 100644 docs/.gitignore delete mode 100644 docs/Project.toml delete mode 100644 docs/make.jl delete mode 100644 docs/package.json delete mode 100644 docs/src/index.md delete mode 100644 docs/src/rosalind/01-dna.md delete mode 100644 docs/src/rosalind/06-hamm.md delete mode 100644 docs/src/rosalind/index.md delete mode 100644 docs/src/rosalind/problem_inputs/rosalind_fib.txt delete mode 100644 docs/src/rosalind/problem_inputs/rosalind_gc.txt create mode 100644 index.md create mode 100644 rosalind/01-dna.md rename {docs/src/rosalind => rosalind}/02-rna.md (67%) rename {docs/src/rosalind => rosalind}/03-revc.md (61%) rename {docs/src/rosalind => rosalind}/04-fib.md (82%) rename {docs/src/rosalind => rosalind}/05-gc.md (64%) create mode 100644 rosalind/06-hamm.md create mode 100644 rosalind/index.md delete mode 100644 src/BioTutorials.jl delete mode 100644 test/runtests.jl create mode 100644 utils.jl diff --git a/.github/workflows/Deploy.yml b/.github/workflows/Deploy.yml new file mode 100644 index 0000000..7919ab5 --- /dev/null +++ b/.github/workflows/Deploy.yml @@ -0,0 +1,31 @@ +name: Build and Deploy +on: + push: + branches: [main] + pull_request_target: + types: [opened, synchronize] + branches: [main] + +jobs: + build-and-deploy: + runs-on: ubuntu-latest + permissions: write-all + steps: + - uses: actions/checkout@v4 + + - name: Set preview path for PRs + run: echo 'PRID=${{ env.PREVIEWS_PREFIX}}${{ github.event.number}}' >> $GITHUB_ENV + if: github.event_name == 'pull_request_target' + + - name: Build and Deploy + uses: tlienart/xranklin-build-action@main + with: + SITE_FOLDER: "./" + BASE_URL_PREFIX: BioTutorials + PREVIEW: ${{ env.PRID }} + + - name: Comment PR preview URL + uses: thollander/actions-comment-pull-request@v2 + with: + message: "Preview at https://biojulia.github.io/BioTutorials/${{ env.PRID }}" + if: github.event_name == 'pull_request_target' diff --git a/.github/workflows/DocCleanup.yml b/.github/workflows/DocCleanup.yml deleted file mode 100644 index f8e2302..0000000 --- a/.github/workflows/DocCleanup.yml +++ /dev/null @@ -1,27 +0,0 @@ -# https://documenter.juliadocs.org/stable/man/hosting/#gh-pages-Branch -name: Doc Preview Cleanup - -on: - pull_request: - types: [closed] - -jobs: - doc-preview-cleanup: - runs-on: ubuntu-latest - steps: - - name: Checkout gh-pages branch - uses: actions/checkout@v2 - with: - ref: gh-pages - - name: Delete preview and history + push changes - run: | - if [ -d "previews/PR$PRNUM" ]; then - git config user.name "Documenter.jl" - git config user.email "documenter@juliadocs.github.io" - git rm -rf "previews/PR$PRNUM" - git commit -m "delete preview" - git branch gh-pages-new $(echo "delete history" | git commit-tree HEAD^{tree}) - git push --force origin gh-pages-new:gh-pages - fi - env: - PRNUM: ${{ github.event.number }} \ No newline at end of file diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml deleted file mode 100644 index 5061e81..0000000 --- a/.github/workflows/documentation.yml +++ /dev/null @@ -1,51 +0,0 @@ -# Sample workflow for building and deploying a VitePress site to GitHub Pages -# -name: Deploy documentation - -on: - # Runs on pushes targeting the `main` branch. Change this to `master` if you're - # using the `master` branch as the default branch. - push: - branches: - - main - tags: ['*'] - pull_request: - - # Allows you to run this workflow manually from the Actions tab - workflow_dispatch: - -# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages -permissions: - contents: write - pages: write - id-token: write - actions: write - - -# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. -# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. -concurrency: - group: pages - cancel-in-progress: false - -jobs: - # Build job - build: - runs-on: ubuntu-latest - steps: - - name: Checkout - uses: actions/checkout@v4 - with: # Fetches the last commit only - fetch-depth: 0 - - name: Setup Julia - uses: julia-actions/setup-julia@v1 - - name: Pull Julia cache - uses: julia-actions/cache@v1 - - name: Deploy - uses: julia-actions/julia-docdeploy@v1 - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # For authentication with GitHub Actions token - DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }} # For authentication with SSH deploy key - GKSwstype: "100" # https://discourse.julialang.org/t/generation-of-documentation-fails-qt-qpa-xcb-could-not-connect-to-display/60988 - JULIA_DEBUG: "Documenter" - DATADEPS_ALWAYS_ACCEPT: true diff --git a/.github/workflows/pr_comment.yml b/.github/workflows/pr_comment.yml deleted file mode 100644 index c7d29b6..0000000 --- a/.github/workflows/pr_comment.yml +++ /dev/null @@ -1,14 +0,0 @@ -name: pr_comment -on: - pull_request: - types: [opened, reopened] -jobs: - pr_comment: - runs-on: ubuntu-latest - steps: - - name: Create PR comment - if: github.event_name == 'pull_request' && github.repository == github.event.pull_request.head.repo.full_name # if this is a pull request build AND the pull request is NOT made from a fork - uses: thollander/actions-comment-pull-request@71efef56b184328c7ef1f213577c3a90edaa4aff - with: - message: 'Once the build has completed, you can preview your PR at this URL: https://biojulia.dev/BiojuliaDocs/previews/PR${{ github.event.number }}/' - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/.gitignore b/.gitignore index 9094a1e..69f55ed 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,7 @@ -.ipynb_checkpoints +__site +__cache +node_modules/ Manifest.toml -.envrc \ No newline at end of file +Claude.md +.envrc +.DS_Store diff --git a/404.md b/404.md new file mode 100644 index 0000000..bae7349 --- /dev/null +++ b/404.md @@ -0,0 +1,29 @@ ++++ +title = "404" ++++ + +~~~ +
+ +
+ +
+ 404 +
+ +
+
+ + The requested page was not found + +
+
+
+
+ +
+ Click here to go back to the homepage. +
+ +
+~~~ diff --git a/Pairwise_Alignment/Manifest.toml b/Pairwise_Alignment/Manifest.toml deleted file mode 100644 index 204805f..0000000 --- a/Pairwise_Alignment/Manifest.toml +++ /dev/null @@ -1,1157 +0,0 @@ -# This file is machine-generated - editing it directly is not advised - -[[AbstractFFTs]] -deps = ["ChainRulesCore", "LinearAlgebra"] -git-tree-sha1 = "6f1d9bc1c08f9f4a8fa92e3ea3cb50153a1b40d4" -uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c" -version = "1.1.0" - -[[AbstractTrees]] -git-tree-sha1 = "03e0550477d86222521d254b741d470ba17ea0b5" -uuid = "1520ce14-60c1-5f80-bbc7-55ef81b5835c" -version = "0.3.4" - -[[Adapt]] -deps = ["LinearAlgebra"] -git-tree-sha1 = "af92965fb30777147966f58acb05da51c5616b5f" -uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e" -version = "3.3.3" - -[[Animations]] -deps = ["Colors"] -git-tree-sha1 = "e81c509d2c8e49592413bfb0bb3b08150056c79d" -uuid = "27a7e980-b3e6-11e9-2bcd-0b925532e340" -version = "0.4.1" - -[[ArgTools]] -uuid = 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"0ac62f75-1d6f-5e53-bd7c-93b484bb37c0" -version = "0.15.1+0" - -[[libblastrampoline_jll]] -deps = ["Artifacts", "Libdl", "OpenBLAS_jll"] -uuid = "8e850b90-86db-534c-a0d3-1478176c7d93" - -[[libfdk_aac_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "daacc84a041563f965be61859a36e17c4e4fcd55" -uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280" -version = "2.0.2+0" - -[[libpng_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] -git-tree-sha1 = "94d180a6d2b5e55e447e2d27a29ed04fe79eb30c" -uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f" -version = "1.6.38+0" - -[[libsixel_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "78736dab31ae7a53540a6b752efc61f77b304c5b" -uuid = "075b6546-f08a-558a-be8f-8157d0f608a5" -version = "1.8.6+1" - -[[libvorbis_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Ogg_jll", "Pkg"] -git-tree-sha1 = "b910cb81ef3fe6e78bf6acee440bda86fd6ae00c" -uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a" -version = "1.3.7+1" - -[[nghttp2_jll]] -deps = ["Artifacts", "Libdl"] -uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d" - -[[p7zip_jll]] -deps = ["Artifacts", "Libdl"] -uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" - -[[x264_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "4fea590b89e6ec504593146bf8b988b2c00922b2" -uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a" -version = "2021.5.5+0" - -[[x265_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "ee567a171cce03570d77ad3a43e90218e38937a9" -uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76" -version = "3.5.0+0" diff --git a/Pairwise_Alignment/Project.toml b/Pairwise_Alignment/Project.toml deleted file mode 100644 index 2e10340..0000000 --- a/Pairwise_Alignment/Project.toml +++ /dev/null @@ -1,4 +0,0 @@ -[deps] -BioAlignments = "00701ae9-d1dc-5365-b64a-a3a3ebf5695e" -BioSequences = "7e6ae17a-c86d-528c-b3b9-7f778a29fe59" -CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0" diff --git a/Pairwise_Alignment/pairwise_alignment.ipynb b/Pairwise_Alignment/pairwise_alignment.ipynb deleted file mode 100644 index 55d8355..0000000 --- a/Pairwise_Alignment/pairwise_alignment.ipynb +++ /dev/null @@ -1,383 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Pairwise Alignment and Dotplot\n", - "\n", - "**Requirements**:\n", - "\n", - "- Julia 1.6+\n", - "- BioAlignments v2\n", - "- BioSequences v2\n", - "\n", - "Pairwise sequence alignment algorithms are provided by the `BioAlignments.jl` package.\n", - "The sequence alignment is a kind of optimization problem to find the best scoring alignment.\n", - "For example, matching two similar symbols gets a high (often positive) score\n", - "and matching dissimilar symbols does a low (often negative) score." - ], - "metadata": {} - }, - { - "outputs": [], - "cell_type": "code", - "source": [ - "using BioSequences\n", - "using BioAlignments" - ], - "metadata": {}, - "execution_count": 1 - }, - { - "cell_type": "markdown", - "source": [ - "The following two sequences are homologus protein sequences from [titin](https://en.wikipedia.org/wiki/Titin)\n", - "of human and mouse.\n", - "Titin is a component of muscle fiber and extremely long (~30,000 amino acids)\n", - "compared to other protein sequences.\n", - "So, the sequences used here are just part of them.\n", - "The complete sequences can be found here:\n", - "\n", - "- TITIN_HUMAN: \n", - "- TITIN_MOUSE: " - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "799aa Amino Acid Sequence:\nEYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVP…QEVQGRDLLSKESLLSGIPEEQRLNLKIQICRALQAAVA" - }, - "metadata": {}, - "execution_count": 2 - } - ], - "cell_type": "code", - "source": [ - "titin_human = aa\"\"\"\n", - "EYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVPEVVSPDQEMPVYPPAIITPLQDTVTSEGQPA\n", - "RFQCRVSGTDLKVSWYSKDKKIKPSRFFRMTQFEDTYQLEIAEAYPEDEGTYTFVASNAVGQVSSTANLS\n", - "LEAPESILHERIEQEIEMEMKEFSSSFLSAEEEGLHSAELQLSKINETLELLSESPVYPTKFDSEKEGTG\n", - "PIFIKEVSNADISMGDVATLSVTVIGIPKPKIQWFFNGVLLTPSADYKFVFDGDDHSLIILFTKLEDEGE\n", - "YTCMASNDYGKTICSAYLKINSKGEGHKDTETESAVAKSLEKLGGPCPPHFLKELKPIRCAQGLPAIFEY\n", - "TVVGEPAPTVTWFKENKQLCTSVYYTIIHNPNGSGTFIVNDPQREDSGLYICKAENMLGESTCAAELLVL\n", - "LEDTDMTDTPCKAKSTPEAPEDFPQTPLKGPAVEALDSEQEIATFVKDTILKAALITEENQQLSYEHIAK\n", - "ANELSSQLPLGAQELQSILEQDKLTPESTREFLCINGSIHFQPLKEPSPNLQLQIVQSQKTFSKEGILMP\n", - "EEPETQAVLSDTEKIFPSAMSIEQINSLTVEPLKTLLAEPEGNYPQSSIEPPMHSYLTSVAEEVLSPKEK\n", - "TVSDTNREQRVTLQKQEAQSALILSQSLAEGHVESLQSPDVMISQVNYEPLVPSEHSCTEGGKILIESAN\n", - "PLENAGQDSAVRIEEGKSLRFPLALEEKQVLLKEEHSDNVVMPPDQIIESKREPVAIKKVQEVQGRDLLS\n", - "KESLLSGIPEEQRLNLKIQICRALQAAVA\n", - "\"\"\"" - ], - "metadata": {}, - "execution_count": 2 - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "774aa Amino Acid Sequence:\nEYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVP…KEVREQELLSKETLFPSMPEEQRLHLKTQVRRALQAAVA" - }, - "metadata": {}, - "execution_count": 3 - } - ], - "cell_type": "code", - "source": [ - "titin_mouse = aa\"\"\"\n", - "EYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVPEVVSPDQEMPVYPPAIVTPLQDTVTSEGRPA\n", - "RFQCQVSGTDLKVSWYCKDKKIKPSRFFRMTQFEDTYQLEIAEAYPEDEGTYAFVANNAVGQVSSTATLR\n", - "LEAPESILHERIGQQIEMEMKEIASLLSAEEDFQTYSSDLRLPNANETLELLSEPPARSTQFDSRQEGAA\n", - "PVFIREISDVEISVEDVAKLSVTVTGCPKPKIQWFFNGMLLTPSADYKFVFDGDTHSLIILFTRFQDEGE\n", - "YTCLASNEYGKAVCSAHLRISPRGERSTEMESGEKKALEKPKGPCPPYFFKELKPVHCGPGIPAVFEYSV\n", - "HGEPAPTVLWFKEDMPLYTSVCYTIIHSPDGSGTFIVNDPQRGDSGLYLCKAQNLWGESTCAAELLVLPE\n", - "DTDVPDASCKEESTLGVPGDFLETSARGPLVQGVDSRQEITAFAEGTISKAALIAEETLQLSYERSVDDS\n", - "EVGTGVTIGAQKLPPVVLSTPQGTGELPSIDGAVHTQPGRGPPPTLNLQAVQAQTTLPKEATLQFEEPEG\n", - "VFPGASSAAQVSPVTIKPLITLTAEPKGNYPQSSTAAPDHALLSSVAAETLQLGEKKIPEVDKAQRALLL\n", - "SQSLAEGCVESLEVPDVAVSNMRSEPQVPFQHTCTEGKILMASADTLKSTGQDVALRTEEGKSLSFPLAL\n", - "EEKQVLLKEEQSEVVAVPTSQTSKSEKEPEAIKGVKEVREQELLSKETLFPSMPEEQRLHLKTQVRRALQ\n", - "AAVA\n", - "\"\"\"" - ], - "metadata": {}, - "execution_count": 3 - }, - { - "cell_type": "markdown", - "source": [ - "The similarity score between two symbols are described by a [substitution matrix](https://en.wikipedia.org/wiki/Substitution_matrix)\n", - "and `BioAlignments.jl` provides some predefined matrices commonly seen in bioinformatics.\n", - "`BLOSUM62` is a substitution matrix for amino acids\n", - "and sometimes used as a default matrix in some programs.\n", - "The derivation method and the biological rationale are outlined in this [wikipedia article](https://en.wikipedia.org/wiki/BLOSUM)." - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "SubstitutionMatrix{AminoAcid, Int64}:\n A R N D C Q E G H I L K M F P S T W Y V O U B J Z X *\n A 4 -1 -2 -2 0 -1 -1 0 -2 -1 -1 -1 -1 -2 -1 1 0 -3 -2 0 0̲ 0̲ -2 0̲ -1 0 -4\n R -1 5 0 -2 -3 1 0 -2 0 -3 -2 2 -1 -3 -2 -1 -1 -3 -2 -3 0̲ 0̲ -1 0̲ 0 -1 -4\n N -2 0 6 1 -3 0 0 0 1 -3 -3 0 -2 -3 -2 1 0 -4 -2 -3 0̲ 0̲ 3 0̲ 0 -1 -4\n D -2 -2 1 6 -3 0 2 -1 -1 -3 -4 -1 -3 -3 -1 0 -1 -4 -3 -3 0̲ 0̲ 4 0̲ 1 -1 -4\n C 0 -3 -3 -3 9 -3 -4 -3 -3 -1 -1 -3 -1 -2 -3 -1 -1 -2 -2 -1 0̲ 0̲ -3 0̲ -3 -2 -4\n Q -1 1 0 0 -3 5 2 -2 0 -3 -2 1 0 -3 -1 0 -1 -2 -1 -2 0̲ 0̲ 0 0̲ 3 -1 -4\n E -1 0 0 2 -4 2 5 -2 0 -3 -3 1 -2 -3 -1 0 -1 -3 -2 -2 0̲ 0̲ 1 0̲ 4 -1 -4\n G 0 -2 0 -1 -3 -2 -2 6 -2 -4 -4 -2 -3 -3 -2 0 -2 -2 -3 -3 0̲ 0̲ -1 0̲ -2 -1 -4\n H -2 0 1 -1 -3 0 0 -2 8 -3 -3 -1 -2 -1 -2 -1 -2 -2 2 -3 0̲ 0̲ 0 0̲ 0 -1 -4\n I -1 -3 -3 -3 -1 -3 -3 -4 -3 4 2 -3 1 0 -3 -2 -1 -3 -1 3 0̲ 0̲ -3 0̲ -3 -1 -4\n L -1 -2 -3 -4 -1 -2 -3 -4 -3 2 4 -2 2 0 -3 -2 -1 -2 -1 1 0̲ 0̲ -4 0̲ -3 -1 -4\n K -1 2 0 -1 -3 1 1 -2 -1 -3 -2 5 -1 -3 -1 0 -1 -3 -2 -2 0̲ 0̲ 0 0̲ 1 -1 -4\n M -1 -1 -2 -3 -1 0 -2 -3 -2 1 2 -1 5 0 -2 -1 -1 -1 -1 1 0̲ 0̲ -3 0̲ -1 -1 -4\n F -2 -3 -3 -3 -2 -3 -3 -3 -1 0 0 -3 0 6 -4 -2 -2 1 3 -1 0̲ 0̲ -3 0̲ -3 -1 -4\n P -1 -2 -2 -1 -3 -1 -1 -2 -2 -3 -3 -1 -2 -4 7 -1 -1 -4 -3 -2 0̲ 0̲ -2 0̲ -1 -2 -4\n S 1 -1 1 0 -1 0 0 0 -1 -2 -2 0 -1 -2 -1 4 1 -3 -2 -2 0̲ 0̲ 0 0̲ 0 0 -4\n T 0 -1 0 -1 -1 -1 -1 -2 -2 -1 -1 -1 -1 -2 -1 1 5 -2 -2 0 0̲ 0̲ -1 0̲ -1 0 -4\n W -3 -3 -4 -4 -2 -2 -3 -2 -2 -3 -2 -3 -1 1 -4 -3 -2 11 2 -3 0̲ 0̲ -4 0̲ -3 -2 -4\n Y -2 -2 -2 -3 -2 -1 -2 -3 2 -1 -1 -2 -1 3 -3 -2 -2 2 7 -1 0̲ 0̲ -3 0̲ -2 -1 -4\n V 0 -3 -3 -3 -1 -2 -2 -3 -3 3 1 -2 1 -1 -2 -2 0 -3 -1 4 0̲ 0̲ -3 0̲ -2 -1 -4\n O 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲\n U 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲\n B -2 -1 3 4 -3 0 1 -1 0 -3 -4 0 -3 -3 -2 0 -1 -4 -3 -3 0̲ 0̲ 4 0̲ 1 -1 -4\n J 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲\n Z -1 0 0 1 -3 3 4 -2 0 -3 -3 1 -1 -3 -1 0 -1 -3 -2 -2 0̲ 0̲ 1 0̲ 4 -1 -4\n X 0 -1 -1 -1 -2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -2 0 0 -2 -1 -1 0̲ 0̲ -1 0̲ -1 -1 -4\n * -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 0̲ 0̲ -4 0̲ -4 -4 1\n(underlined values are default ones)" - }, - "metadata": {}, - "execution_count": 4 - } - ], - "cell_type": "code", - "source": [ - "BLOSUM62" - ], - "metadata": {}, - "execution_count": 4 - }, - { - "cell_type": "markdown", - "source": [ - "The score in the matrix can be accessed using a pair of amino acids:" - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "2" - }, - "metadata": {}, - "execution_count": 5 - } - ], - "cell_type": "code", - "source": [ - "BLOSUM62[AA_R, AA_K]" - ], - "metadata": {}, - "execution_count": 5 - }, - { - "cell_type": "markdown", - "source": [ - "Two protein sequences are aligned to each other using the `pairalign` function,\n", - "which takes an alignment optimization problem (`GlobalAlignment()`),\n", - "two compared sequences (`titin_human`, `titin_mouse`) and scoring model (`model`).\n", - "The algorithms implemented in this module can find the optimal sequence alignments\n", - "between two sequences based on affine gap scoring model,\n", - "in which inserting gaps of length `k` in a sequence alignment\n", - "gets `gap_open + gap_extend * k` where `gap_open` and `gap_extend`\n", - "are non-positive scores imposed on starting a new gap and extending a gap, respectively." - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "AffineGapScoreModel{Int64}:\n SubstitutionMatrix{AminoAcid, Int64}:\n A R N D C Q E G H I L K M F P S T W Y V O U B J Z X *\n A 4 -1 -2 -2 0 -1 -1 0 -2 -1 -1 -1 -1 -2 -1 1 0 -3 -2 0 0̲ 0̲ -2 0̲ -1 0 -4\n R -1 5 0 -2 -3 1 0 -2 0 -3 -2 2 -1 -3 -2 -1 -1 -3 -2 -3 0̲ 0̲ -1 0̲ 0 -1 -4\n N -2 0 6 1 -3 0 0 0 1 -3 -3 0 -2 -3 -2 1 0 -4 -2 -3 0̲ 0̲ 3 0̲ 0 -1 -4\n D -2 -2 1 6 -3 0 2 -1 -1 -3 -4 -1 -3 -3 -1 0 -1 -4 -3 -3 0̲ 0̲ 4 0̲ 1 -1 -4\n C 0 -3 -3 -3 9 -3 -4 -3 -3 -1 -1 -3 -1 -2 -3 -1 -1 -2 -2 -1 0̲ 0̲ -3 0̲ -3 -2 -4\n Q -1 1 0 0 -3 5 2 -2 0 -3 -2 1 0 -3 -1 0 -1 -2 -1 -2 0̲ 0̲ 0 0̲ 3 -1 -4\n E -1 0 0 2 -4 2 5 -2 0 -3 -3 1 -2 -3 -1 0 -1 -3 -2 -2 0̲ 0̲ 1 0̲ 4 -1 -4\n G 0 -2 0 -1 -3 -2 -2 6 -2 -4 -4 -2 -3 -3 -2 0 -2 -2 -3 -3 0̲ 0̲ -1 0̲ -2 -1 -4\n H -2 0 1 -1 -3 0 0 -2 8 -3 -3 -1 -2 -1 -2 -1 -2 -2 2 -3 0̲ 0̲ 0 0̲ 0 -1 -4\n I -1 -3 -3 -3 -1 -3 -3 -4 -3 4 2 -3 1 0 -3 -2 -1 -3 -1 3 0̲ 0̲ -3 0̲ -3 -1 -4\n L -1 -2 -3 -4 -1 -2 -3 -4 -3 2 4 -2 2 0 -3 -2 -1 -2 -1 1 0̲ 0̲ -4 0̲ -3 -1 -4\n K -1 2 0 -1 -3 1 1 -2 -1 -3 -2 5 -1 -3 -1 0 -1 -3 -2 -2 0̲ 0̲ 0 0̲ 1 -1 -4\n M -1 -1 -2 -3 -1 0 -2 -3 -2 1 2 -1 5 0 -2 -1 -1 -1 -1 1 0̲ 0̲ -3 0̲ -1 -1 -4\n F -2 -3 -3 -3 -2 -3 -3 -3 -1 0 0 -3 0 6 -4 -2 -2 1 3 -1 0̲ 0̲ -3 0̲ -3 -1 -4\n P -1 -2 -2 -1 -3 -1 -1 -2 -2 -3 -3 -1 -2 -4 7 -1 -1 -4 -3 -2 0̲ 0̲ -2 0̲ -1 -2 -4\n S 1 -1 1 0 -1 0 0 0 -1 -2 -2 0 -1 -2 -1 4 1 -3 -2 -2 0̲ 0̲ 0 0̲ 0 0 -4\n T 0 -1 0 -1 -1 -1 -1 -2 -2 -1 -1 -1 -1 -2 -1 1 5 -2 -2 0 0̲ 0̲ -1 0̲ -1 0 -4\n W -3 -3 -4 -4 -2 -2 -3 -2 -2 -3 -2 -3 -1 1 -4 -3 -2 11 2 -3 0̲ 0̲ -4 0̲ -3 -2 -4\n Y -2 -2 -2 -3 -2 -1 -2 -3 2 -1 -1 -2 -1 3 -3 -2 -2 2 7 -1 0̲ 0̲ -3 0̲ -2 -1 -4\n V 0 -3 -3 -3 -1 -2 -2 -3 -3 3 1 -2 1 -1 -2 -2 0 -3 -1 4 0̲ 0̲ -3 0̲ -2 -1 -4\n O 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲\n U 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲\n B -2 -1 3 4 -3 0 1 -1 0 -3 -4 0 -3 -3 -2 0 -1 -4 -3 -3 0̲ 0̲ 4 0̲ 1 -1 -4\n J 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲ 0̲\n Z -1 0 0 1 -3 3 4 -2 0 -3 -3 1 -1 -3 -1 0 -1 -3 -2 -2 0̲ 0̲ 1 0̲ 4 -1 -4\n X 0 -1 -1 -1 -2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -2 0 0 -2 -1 -1 0̲ 0̲ -1 0̲ -1 -1 -4\n * -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 -4 0̲ 0̲ -4 0̲ -4 -4 1\n(underlined values are default ones)\n gap_open = -11\n gap_extend = -1" - }, - "metadata": {}, - "execution_count": 6 - } - ], - "cell_type": "code", - "source": [ - "# Create a socring model from a substitution matrix and gap scores.\n", - "model = AffineGapScoreModel(BLOSUM62, gap_open=-11, gap_extend=-1)" - ], - "metadata": {}, - "execution_count": 6 - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "PairwiseAlignmentResult{Int64, LongAminoAcidSeq, LongAminoAcidSeq}:\n score: 2576\n seq: 1 EYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVPEVVSPDQEMPVYPPAIITPLQ 60\n ||||||||||||||||||||||||||||||||||||||||||||||||||||||| ||||\n ref: 1 EYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVPEVVSPDQEMPVYPPAIVTPLQ 60\n\n seq: 61 DTVTSEGQPARFQCRVSGTDLKVSWYSKDKKIKPSRFFRMTQFEDTYQLEIAEAYPEDEG 120\n ||||||| |||||| ||||||||||| |||||||||||||||||||||||||||||||||\n ref: 61 DTVTSEGRPARFQCQVSGTDLKVSWYCKDKKIKPSRFFRMTQFEDTYQLEIAEAYPEDEG 120\n\n seq: 121 TYTFVASNAVGQVSSTANLSLEAPESILHERIEQEIEMEMKEFSSSFLSAEEE-GLHSAE 179\n || ||| |||||||||| | |||||||||||| | ||||||| | ||||| | \n ref: 121 TYAFVANNAVGQVSSTATLRLEAPESILHERIGQQIEMEMKEIAS-LLSAEEDFQTYSSD 179\n\n seq: 180 LQLSKINETLELLSESPVYPTKFDSEKEGTGPIFIKEVSNADISMGDVATLSVTVIGIPK 239\n | | ||||||||| | | ||| || | || | | || ||| ||||| | ||\n ref: 180 LRLPNANETLELLSEPPARSTQFDSRQEGAAPVFIREISDVEISVEDVAKLSVTVTGCPK 239\n\n seq: 240 PKIQWFFNGVLLTPSADYKFVFDGDDHSLIILFTKLEDEGEYTCMASNDYGKTICSAYLK 299\n ||||||||| ||||||||||||||| |||||||| ||||||| ||| ||| ||| | \n ref: 240 PKIQWFFNGMLLTPSADYKFVFDGDTHSLIILFTRFQDEGEYTCLASNEYGKAVCSAHLR 299\n\n seq: 300 INSKGEGHKDTETESAVAKSLEKLGGPCPPHFLKELKPIRCAQGLPAIFEYTVVGEPAPT 359\n | || || || | ||| ||||| | ||||| | | || ||| | ||||||\n ref: 300 ISPRGE--RSTEMESGEKKALEKPKGPCPPYFFKELKPVHCGPGIPAVFEYSVHGEPAPT 357\n\n seq: 360 VTWFKENKQLCTSVYYTIIHNPNGSGTFIVNDPQREDSGLYICKAENMLGESTCAAELLV 419\n | |||| | ||| ||||| | |||||||||||| ||||| ||| | |||||||||||\n ref: 358 VLWFKEDMPLYTSVCYTIIHSPDGSGTFIVNDPQRGDSGLYLCKAQNLWGESTCAAELLV 417\n\n seq: 420 LLEDTDMTDTPCKAKSTPEAPEDFPQTPLKGPAVEALDSEQEIATFVKDTILKAALITEE 479\n | |||| | || || | || | || | || ||| | || ||||| ||\n ref: 418 LPEDTDVPDASCKEESTLGVPGDFLETSARGPLVQGVDSRQEITAFAEGTISKAALIAEE 477\n\n seq: 480 NQQLSYEHIAKANELSSQLPLGAQELQSILEQDKLTPESTREFLCINGSIHFQPLKEPSP 539\n ||||| | ||| | || | | | | | || | |\n ref: 478 TLQLSYERSVDDSEVGTGVTIGAQKLPPVVLS---TPQGTGELPSIDGAVHTQPGRGPPP 534\n\n seq: 540 NLQLQIVQSQKTFSKEGILMPEEPETQAVLSDTEKIFPSAMSIEQINSLTVEPLKTLLAE 599\n | || || | | || | |||| || | | | | || || ||\n ref: 535 TLNLQAVQAQTTLPKEATLQFEEPEG---------VFPGASSAAQVSPVTIKPLITLTAE 585\n\n seq: 600 PEGNYPQSSIEPPMHSYLTSVAEEVLSPKEKTVSDTNREQRVTLQKQEAQSALILSQSLA 659\n | ||||||| | | | ||| | | || || || ||||||\n ref: 586 PKGNYPQSSTAAPDHALLSSVAAETLQLGEKKIPEVDKAQR----------ALLLSQSLA 635\n\n seq: 660 EGHVESLQSPDVMISQVNYEPLVPSEHSCTEGGKILIESANPLENAGQDSAVRIEEGKSL 719\n || |||| ||| | || || | |||| ||| || | ||| | | ||||||\n ref: 636 EGCVESLEVPDVAVSNMRSEPQVPFQHTCTEG-KILMASADTLKSTGQDVALRTEEGKSL 694\n\n seq: 720 RFPLALEEKQVLLKEEHSDNVVMPPDQIIESKREPVAIKKVQEVQGRDLLSKESLLSGIP 779\n ||||||||||||||| | | | | | || ||| | || ||||| | |\n ref: 695 SFPLALEEKQVLLKEEQSEVVAVPTSQTSKSEKEPEAIKGVKEVREQELLSKETLFPSMP 754\n\n seq: 780 EEQRLNLKIQICRALQAAVA 799\n ||||| || | ||||||||\n ref: 755 EEQRLHLKTQVRRALQAAVA 774\n" - }, - "metadata": {}, - "execution_count": 7 - } - ], - "cell_type": "code", - "source": [ - "# Solve a pairwise-alignment optimization problem.\n", - "result = pairalign(GlobalAlignment(), titin_human, titin_mouse, model)" - ], - "metadata": {}, - "execution_count": 7 - }, - { - "cell_type": "markdown", - "source": [ - "The achieved score of the alignment is then:" - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "2576" - }, - "metadata": {}, - "execution_count": 8 - } - ], - "cell_type": "code", - "source": [ - "score(result)" - ], - "metadata": {}, - "execution_count": 8 - }, - { - "cell_type": "markdown", - "source": [ - "The global alignment demonstrated above tries to align two sequences in an end-to-end manner.\n", - "However, a researcher may be interested in local similarities between two sequences.\n", - "In such a case, a [dot plot](https://en.wikipedia.org/wiki/Dot_plot_(bioinformatics))\n", - "is a good visualization to detect local similarities." - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "Main.##292.dotplot" - }, - "metadata": {}, - "execution_count": 9 - } - ], - "cell_type": "code", - "source": [ - "using CairoMakie\n", - "\n", - "\"\"\"\n", - " dotplot(seq1, seq2, submat; windowsize=20, threshold=20)\n", - "\n", - "Create a dot plot from `seq1` and `seq2` based on `submat`;\n", - "`windowsize` specifies the size of a window to accumulate similarity scores along two sequences and\n", - "`threshold` specifies the score threshold to plot a white dot in a window (when `threshold` is NaN,\n", - "it plots raw similarity scores).\n", - "\"\"\"\n", - "function dotplot(seq1, seq2, submat; windowsize=20, threshold=20)\n", - " m = length(seq1)\n", - " n = length(seq2)\n", - " simscores = zeros(m - windowsize + 1, n - windowsize + 1)\n", - " for i in 1:m-windowsize+1, j in 1:n-windowsize+1\n", - " for k in 1:windowsize\n", - " simscores[i,j] += submat[seq1[i+k-1],seq2[j+k-1]]\n", - " end\n", - " end\n", - "\n", - " fig = Figure(; resolution=(800,800))\n", - "\n", - " if isnan(threshold)\n", - " colorscale = :viridis\n", - " ax = Axis(fig[1,1]; title=\"dotplot (windowsize=$windowsize, raw similarity score)\")\n", - " else\n", - " colorscale = :greys\n", - " ax = Axis(fig[1,1]; title=\"dotplot (windowsize=$windowsize, threshold=$threshold)\")\n", - " for i in eachindex(simscores)\n", - " simscores[i] = ifelse(simscores[i] > threshold, 1, 0)\n", - " end\n", - " end\n", - " heatmap!(simscores, colorscale=colorscale)\n", - " return fig\n", - "end" - ], - "metadata": {}, - "execution_count": 9 - }, - { - "cell_type": "markdown", - "source": [ - "We can see a raw similarity score plot by setting `threshold` to `NaN`." - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "Figure()", - "image/png": 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" - }, - "metadata": {}, - "execution_count": 10 - } - ], - "cell_type": "code", - "source": [ - "dotplot(titin_human, titin_mouse, BLOSUM62, threshold=NaN)" - ], - "metadata": {}, - "execution_count": 10 - }, - { - "cell_type": "markdown", - "source": [ - "Filtering by the accumulated score highlights similar regions by white dots.\n", - "The diagonal breaking lines (from the left-down to the right-up corner)\n", - "correspond to the global similarity\n", - "between the titin sequences of human and mouse as shown above,\n", - "and other shorter lines around it\n", - "corerspond to local similarities that are not captured in the global alignment." - ], - "metadata": {} - }, - { - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "Figure()", - "image/png": 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" - }, - "metadata": {}, - "execution_count": 11 - } - ], - "cell_type": "code", - "source": [ - "dotplot(titin_human, titin_mouse, BLOSUM62)" - ], - "metadata": {}, - "execution_count": 11 - }, - { - "cell_type": "markdown", - "source": [ - "---\n", - "\n", - "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*" - ], - "metadata": {} - } - ], - "nbformat_minor": 3, - "metadata": { - "language_info": { - "file_extension": ".jl", - "mimetype": "application/julia", - "name": "julia", - "version": "1.7.2" - }, - "kernelspec": { - "name": "julia-1.7", - "display_name": "Julia 1.7.2", - "language": "julia" - } - }, - "nbformat": 4 -} diff --git a/Pairwise_Alignment/pairwise_alignment.jl b/Pairwise_Alignment/pairwise_alignment.jl deleted file mode 100644 index f0e6a13..0000000 --- a/Pairwise_Alignment/pairwise_alignment.jl +++ /dev/null @@ -1,144 +0,0 @@ -# # Pairwise Alignment and Dotplot -# -# **Requirements**: -# -# - Julia 1.6+ -# - BioAlignments v2 -# - BioSequences v2 -# -# Pairwise sequence alignment algorithms are provided by the `BioAlignments.jl` package. -# The sequence alignment is a kind of optimization problem to find the best scoring alignment. -# For example, matching two similar symbols gets a high (often positive) score -# and matching dissimilar symbols does a low (often negative) score. - -using BioSequences -using BioAlignments - -# The following two sequences are homologus protein sequences from [titin](https://en.wikipedia.org/wiki/Titin) -# of human and mouse. -# Titin is a component of muscle fiber and extremely long (~30,000 amino acids) -# compared to other protein sequences. -# So, the sequences used here are just part of them. -# The complete sequences can be found here: -# -# - TITIN_HUMAN: -# - TITIN_MOUSE: - -titin_human = aa""" -EYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVPEVVSPDQEMPVYPPAIITPLQDTVTSEGQPA -RFQCRVSGTDLKVSWYSKDKKIKPSRFFRMTQFEDTYQLEIAEAYPEDEGTYTFVASNAVGQVSSTANLS -LEAPESILHERIEQEIEMEMKEFSSSFLSAEEEGLHSAELQLSKINETLELLSESPVYPTKFDSEKEGTG -PIFIKEVSNADISMGDVATLSVTVIGIPKPKIQWFFNGVLLTPSADYKFVFDGDDHSLIILFTKLEDEGE -YTCMASNDYGKTICSAYLKINSKGEGHKDTETESAVAKSLEKLGGPCPPHFLKELKPIRCAQGLPAIFEY -TVVGEPAPTVTWFKENKQLCTSVYYTIIHNPNGSGTFIVNDPQREDSGLYICKAENMLGESTCAAELLVL -LEDTDMTDTPCKAKSTPEAPEDFPQTPLKGPAVEALDSEQEIATFVKDTILKAALITEENQQLSYEHIAK -ANELSSQLPLGAQELQSILEQDKLTPESTREFLCINGSIHFQPLKEPSPNLQLQIVQSQKTFSKEGILMP -EEPETQAVLSDTEKIFPSAMSIEQINSLTVEPLKTLLAEPEGNYPQSSIEPPMHSYLTSVAEEVLSPKEK -TVSDTNREQRVTLQKQEAQSALILSQSLAEGHVESLQSPDVMISQVNYEPLVPSEHSCTEGGKILIESAN -PLENAGQDSAVRIEEGKSLRFPLALEEKQVLLKEEHSDNVVMPPDQIIESKREPVAIKKVQEVQGRDLLS -KESLLSGIPEEQRLNLKIQICRALQAAVA -""" - -#- - -titin_mouse = aa""" -EYTLLLIEAFPEDAAVYTCEAKNDYGVATTSASLSVEVPEVVSPDQEMPVYPPAIVTPLQDTVTSEGRPA -RFQCQVSGTDLKVSWYCKDKKIKPSRFFRMTQFEDTYQLEIAEAYPEDEGTYAFVANNAVGQVSSTATLR -LEAPESILHERIGQQIEMEMKEIASLLSAEEDFQTYSSDLRLPNANETLELLSEPPARSTQFDSRQEGAA -PVFIREISDVEISVEDVAKLSVTVTGCPKPKIQWFFNGMLLTPSADYKFVFDGDTHSLIILFTRFQDEGE -YTCLASNEYGKAVCSAHLRISPRGERSTEMESGEKKALEKPKGPCPPYFFKELKPVHCGPGIPAVFEYSV -HGEPAPTVLWFKEDMPLYTSVCYTIIHSPDGSGTFIVNDPQRGDSGLYLCKAQNLWGESTCAAELLVLPE -DTDVPDASCKEESTLGVPGDFLETSARGPLVQGVDSRQEITAFAEGTISKAALIAEETLQLSYERSVDDS -EVGTGVTIGAQKLPPVVLSTPQGTGELPSIDGAVHTQPGRGPPPTLNLQAVQAQTTLPKEATLQFEEPEG -VFPGASSAAQVSPVTIKPLITLTAEPKGNYPQSSTAAPDHALLSSVAAETLQLGEKKIPEVDKAQRALLL -SQSLAEGCVESLEVPDVAVSNMRSEPQVPFQHTCTEGKILMASADTLKSTGQDVALRTEEGKSLSFPLAL -EEKQVLLKEEQSEVVAVPTSQTSKSEKEPEAIKGVKEVREQELLSKETLFPSMPEEQRLHLKTQVRRALQ -AAVA -""" - -# The similarity score between two symbols are described by a [substitution matrix](https://en.wikipedia.org/wiki/Substitution_matrix) -# and `BioAlignments.jl` provides some predefined matrices commonly seen in bioinformatics. -# `BLOSUM62` is a substitution matrix for amino acids -# and sometimes used as a default matrix in some programs. -# The derivation method and the biological rationale are outlined in this [wikipedia article](https://en.wikipedia.org/wiki/BLOSUM). - -BLOSUM62 - -# The score in the matrix can be accessed using a pair of amino acids: - -BLOSUM62[AA_R, AA_K] - -# Two protein sequences are aligned to each other using the `pairalign` function, -# which takes an alignment optimization problem (`GlobalAlignment()`), -# two compared sequences (`titin_human`, `titin_mouse`) and scoring model (`model`). -# The algorithms implemented in this module can find the optimal sequence alignments -# between two sequences based on affine gap scoring model, -# in which inserting gaps of length `k` in a sequence alignment -# gets `gap_open + gap_extend * k` where `gap_open` and `gap_extend` -# are non-positive scores imposed on starting a new gap and extending a gap, respectively. - -## Create a socring model from a substitution matrix and gap scores. -model = AffineGapScoreModel(BLOSUM62, gap_open=-11, gap_extend=-1) - -#- - -## Solve a pairwise-alignment optimization problem. -result = pairalign(GlobalAlignment(), titin_human, titin_mouse, model) - -# The achieved score of the alignment is then: - -score(result) - -# The global alignment demonstrated above tries to align two sequences in an end-to-end manner. -# However, a researcher may be interested in local similarities between two sequences. -# In such a case, a [dot plot](https://en.wikipedia.org/wiki/Dot_plot_(bioinformatics)) -# is a good visualization to detect local similarities. - -using CairoMakie - -""" - dotplot(seq1, seq2, submat; windowsize=20, threshold=20) - -Create a dot plot from `seq1` and `seq2` based on `submat`; -`windowsize` specifies the size of a window to accumulate similarity scores along two sequences and -`threshold` specifies the score threshold to plot a white dot in a window (when `threshold` is NaN, -it plots raw similarity scores). -""" -function dotplot(seq1, seq2, submat; windowsize=20, threshold=20) - m = length(seq1) - n = length(seq2) - simscores = zeros(m - windowsize + 1, n - windowsize + 1) - for i in 1:m-windowsize+1, j in 1:n-windowsize+1 - for k in 1:windowsize - simscores[i,j] += submat[seq1[i+k-1],seq2[j+k-1]] - end - end - - fig = Figure(; resolution=(800,800)) - - if isnan(threshold) - colorscale = :viridis - ax = Axis(fig[1,1]; title="dotplot (windowsize=$windowsize, raw similarity score)") - else - colorscale = :greys - ax = Axis(fig[1,1]; title="dotplot (windowsize=$windowsize, threshold=$threshold)") - for i in eachindex(simscores) - simscores[i] = ifelse(simscores[i] > threshold, 1, 0) - end - end - heatmap!(simscores, colorscale=colorscale) - return fig -end - -# We can see a raw similarity score plot by setting `threshold` to `NaN`. - -dotplot(titin_human, titin_mouse, BLOSUM62, threshold=NaN) - -# Filtering by the accumulated score highlights similar regions by white dots. -# The diagonal breaking lines (from the left-down to the right-up corner) -# correspond to the global similarity -# between the titin sequences of human and mouse as shown above, -# and other shorter lines around it -# corerspond to local similarities that are not captured in the global alignment. - -dotplot(titin_human, titin_mouse, BLOSUM62) \ No newline at end of file diff --git a/Project.toml b/Project.toml index 0f2eea5..af3bfc9 100644 --- a/Project.toml +++ b/Project.toml @@ -1,9 +1,6 @@ -name = "BioTutorials" -uuid = "33e7be4a-8e14-4baf-892c-424bb664d307" -authors = ["Kevin Bonham (@kescobo)", "Kenta Sato (@bicycle1885)"] -title = "BioTutorials" -version = "0.1.0" - [deps] -BioSequences = "7e6ae17a-c86d-528c-b3b9-7f778a29fe59" +Dates = "ade2ca70-3891-5945-98fb-dc099432e06a" +Hyperscript = "47d2ed2b-36de-50cf-bf87-49c2cf4b8b91" Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306" +NodeJS = "2bd173c7-0d6d-553b-b6af-13a54713934c" +Xranklin = "558449b0-171e-4e1f-900f-d076a5ddf486" diff --git a/RNASeq_Coverage/Manifest.toml b/RNASeq_Coverage/Manifest.toml deleted file mode 100644 index b4f1028..0000000 --- a/RNASeq_Coverage/Manifest.toml +++ /dev/null @@ -1,366 +0,0 @@ -# This file is machine-generated - editing it directly is not advised - -[[AbstractTrees]] -git-tree-sha1 = "03e0550477d86222521d254b741d470ba17ea0b5" -uuid = "1520ce14-60c1-5f80-bbc7-55ef81b5835c" -version = "0.3.4" - -[[ArgTools]] -uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f" - -[[Artifacts]] -uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33" - -[[Automa]] -deps = ["Printf", "ScanByte", "TranscodingStreams"] -git-tree-sha1 = "d50976f217489ce799e366d9561d56a98a30d7fe" -uuid = "67c07d97-cdcb-5c2c-af73-a7f9c32a568b" -version = "0.8.2" - -[[BGZFStreams]] -deps = ["CodecZlib", "Test"] -git-tree-sha1 = "b0e322aef9f1895a09a0c48a118111fd509f666a" -uuid = "28d598bf-9b8f-59f1-b38c-5a06b4a0f5e6" -version = "0.3.0" - -[[Base64]] -uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f" - -[[BioAlignments]] -deps = ["BioGenerics", "BioSequences", "BioSymbols", "IntervalTrees", "LinearAlgebra"] -git-tree-sha1 = "f610a3a965f187890edb0b1fdef4f30d77852edd" -uuid = "00701ae9-d1dc-5365-b64a-a3a3ebf5695e" -version = "2.0.0" - -[[BioGenerics]] -deps = ["TranscodingStreams"] -git-tree-sha1 = "57deb413ca9f4c8bc7d4c6e98ebe217ff728c737" -uuid = "47718e42-2ac5-11e9-14af-e5595289c2ea" -version = "0.1.0" - -[[BioSequences]] -deps = ["BioGenerics", "BioSymbols", "Combinatorics", "IndexableBitVectors", "Printf", "Random", "StableRNGs", "Twiddle"] -git-tree-sha1 = "093ccb9211bdc71924abf8e74a0790af11da35a7" -uuid = "7e6ae17a-c86d-528c-b3b9-7f778a29fe59" -version = "2.0.5" - -[[BioServices]] -deps = ["Dates", "Gumbo", "HTTP", "JSON", "XMLDict"] -git-tree-sha1 = "0e95f5b4a48df7cc9bbb7cf0b407577cb0aea17e" -uuid = "a0d4ced5-b29c-5395-b614-ca030a679c4b" -version = "0.4.0" - -[[BioSymbols]] -deps = ["Automa"] -git-tree-sha1 = "ec77888ac3e78f9d372c2b533bdb52668f9e2b09" -uuid = "3c28c6f8-a34d-59c4-9654-267d177fcfa9" -version = "4.0.4" - -[[CodecZlib]] -deps = ["TranscodingStreams", "Zlib_jll"] -git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da" -uuid = "944b1d66-785c-5afd-91f1-9de20f533193" -version = "0.7.0" - -[[Combinatorics]] -git-tree-sha1 = "08c8b6831dc00bfea825826be0bc8336fc369860" -uuid = "861a8166-3701-5b0c-9a16-15d98fcdc6aa" -version = "1.0.2" - -[[Compat]] -deps = ["Base64", "Dates", "DelimitedFiles", "Distributed", "InteractiveUtils", "LibGit2", "Libdl", "LinearAlgebra", "Markdown", "Mmap", "Pkg", "Printf", "REPL", "Random", "SHA", "Serialization", "SharedArrays", "Sockets", "SparseArrays", "Statistics", "Test", "UUIDs", "Unicode"] -git-tree-sha1 = "ac4132ad78082518ec2037ae5770b6e796f7f956" -uuid = "34da2185-b29b-5c13-b0c7-acf172513d20" -version = "3.27.0" - -[[DataStructures]] -deps = ["Compat", "InteractiveUtils", "OrderedCollections"] -git-tree-sha1 = "4437b64df1e0adccc3e5d1adbc3ac741095e4677" -uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8" -version = "0.18.9" - -[[Dates]] -deps = ["Printf"] -uuid = "ade2ca70-3891-5945-98fb-dc099432e06a" - -[[DelimitedFiles]] -deps = ["Mmap"] -uuid = "8bb1440f-4735-579b-a4ab-409b98df4dab" - -[[Distributed]] -deps = ["Random", "Serialization", "Sockets"] -uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b" - -[[Downloads]] -deps = ["ArgTools", "LibCURL", "NetworkOptions"] -uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6" - -[[EzXML]] -deps = ["Printf", "XML2_jll"] -git-tree-sha1 = "0fa3b52a04a4e210aeb1626def9c90df3ae65268" -uuid = "8f5d6c58-4d21-5cfd-889c-e3ad7ee6a615" -version = "1.1.0" - -[[GenomicFeatures]] -deps = ["BioGenerics", "DataStructures", "IntervalTrees"] -git-tree-sha1 = "9f3f122571d4b279e5176eded5ece804fde93694" -uuid = "899a7d2d-5c61-547b-bef9-6698a8d05446" -version = "2.0.4" - -[[Gumbo]] -deps = ["AbstractTrees", "Gumbo_jll", "Libdl"] -git-tree-sha1 = "e711d08d896018037d6ff0ad4ebe675ca67119d4" -uuid = "708ec375-b3d6-5a57-a7ce-8257bf98657a" -version = "0.8.0" - -[[Gumbo_jll]] -deps = ["Libdl", "Pkg"] -git-tree-sha1 = "86111f5523d7c42da0edd85ef7999c663881ac1e" -uuid = "528830af-5a63-567c-a44a-034ed33b8444" -version = "0.10.1+1" - -[[HTTP]] -deps = ["Base64", "Dates", "IniFile", "MbedTLS", "NetworkOptions", "Sockets", "URIs"] -git-tree-sha1 = "b855bf8247d6e946c75bb30f593bfe7fe591058d" -uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3" -version = "0.9.8" - -[[IndexableBitVectors]] -deps = ["Random", "Test"] -git-tree-sha1 = "b7f5e42dc867b8a8654a5f899064632dac05bc82" -uuid = "1cb3b9ac-1ffd-5777-9e6b-a3d42300664d" -version = "1.0.0" - -[[Indexes]] -deps = ["BGZFStreams", "BioGenerics", "GenomicFeatures", "TranscodingStreams"] -git-tree-sha1 = "275bce824b40fd2e70358e0a652ba1b34172f240" -uuid = "4ffb77ac-cb80-11e8-1b35-4b78cc642f6d" -version = "0.1.3" - -[[IniFile]] -deps = ["Test"] -git-tree-sha1 = "098e4d2c533924c921f9f9847274f2ad89e018b8" -uuid = "83e8ac13-25f8-5344-8a64-a9f2b223428f" -version = "0.5.0" - -[[InteractiveUtils]] -deps = ["Markdown"] -uuid = "b77e0a4c-d291-57a0-90e8-8db25a27a240" - -[[IntervalTrees]] -deps = ["InteractiveUtils", "Profile", "Random", "Test"] -git-tree-sha1 = "6c9fcd87677231ae293f6806fad928c216ab6658" -uuid = "524e6230-43b7-53ae-be76-1e9e4d08d11b" -version = "1.0.0" - -[[IterTools]] -git-tree-sha1 = "05110a2ab1fc5f932622ffea2a003221f4782c18" -uuid = "c8e1da08-722c-5040-9ed9-7db0dc04731e" -version = "1.3.0" - -[[JLLWrappers]] -deps = ["Preferences"] -git-tree-sha1 = "642a199af8b68253517b80bd3bfd17eb4e84df6e" -uuid = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210" -version = "1.3.0" - -[[JSON]] -deps = ["Dates", "Mmap", "Parsers", "Unicode"] -git-tree-sha1 = "81690084b6198a2e1da36fcfda16eeca9f9f24e4" -uuid = "682c06a0-de6a-54ab-a142-c8b1cf79cde6" -version = "0.21.1" - -[[LibCURL]] -deps = ["LibCURL_jll", "MozillaCACerts_jll"] -uuid = "b27032c2-a3e7-50c8-80cd-2d36dbcbfd21" - -[[LibCURL_jll]] -deps = ["Artifacts", "LibSSH2_jll", "Libdl", "MbedTLS_jll", "Zlib_jll", "nghttp2_jll"] -uuid = "deac9b47-8bc7-5906-a0fe-35ac56dc84c0" - -[[LibGit2]] -deps = ["Base64", "NetworkOptions", "Printf", "SHA"] -uuid = "76f85450-5226-5b5a-8eaa-529ad045b433" - -[[LibSSH2_jll]] -deps = ["Artifacts", "Libdl", "MbedTLS_jll"] -uuid = "29816b5a-b9ab-546f-933c-edad1886dfa8" - -[[Libdl]] -uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb" - -[[Libiconv_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "8e924324b2e9275a51407a4e06deb3455b1e359f" -uuid = "94ce4f54-9a6c-5748-9c1c-f9c7231a4531" -version = "1.16.0+7" - -[[LinearAlgebra]] -deps = ["Libdl"] -uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e" - -[[Logging]] -uuid = "56ddb016-857b-54e1-b83d-db4d58db5568" - -[[Markdown]] -deps = ["Base64"] -uuid = "d6f4376e-aef5-505a-96c1-9c027394607a" - -[[MbedTLS]] -deps = ["Dates", "MbedTLS_jll", "Random", "Sockets"] -git-tree-sha1 = "1c38e51c3d08ef2278062ebceade0e46cefc96fe" -uuid = "739be429-bea8-5141-9913-cc70e7f3736d" -version = "1.0.3" - -[[MbedTLS_jll]] -deps = ["Artifacts", "Libdl"] -uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1" - -[[Mmap]] -uuid = "a63ad114-7e13-5084-954f-fe012c677804" - -[[MozillaCACerts_jll]] -uuid = "14a3606d-f60d-562e-9121-12d972cd8159" - -[[NetworkOptions]] -uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908" - -[[OrderedCollections]] -git-tree-sha1 = "4fa2ba51070ec13fcc7517db714445b4ab986bdf" -uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d" -version = "1.4.0" - -[[Parsers]] -deps = ["Dates"] -git-tree-sha1 = "c8abc88faa3f7a3950832ac5d6e690881590d6dc" -uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0" -version = "1.1.0" - -[[Pkg]] -deps = ["Artifacts", "Dates", "Downloads", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"] -uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" - -[[Preferences]] -deps = ["TOML"] -git-tree-sha1 = "ea79e4c9077208cd3bc5d29631a26bc0cff78902" -uuid = "21216c6a-2e73-6563-6e65-726566657250" -version = "1.2.1" - -[[Printf]] -deps = ["Unicode"] -uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7" - -[[Profile]] -deps = ["Printf"] -uuid = "9abbd945-dff8-562f-b5e8-e1ebf5ef1b79" - -[[REPL]] -deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"] -uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb" - -[[Random]] -deps = ["Serialization"] -uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" - -[[SHA]] -uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce" - -[[SIMD]] -git-tree-sha1 = "2318299b4c8e8fe06f6f9114fb4404bd1461ae48" -uuid = "fdea26ae-647d-5447-a871-4b548cad5224" -version = "3.3.0" - -[[ScanByte]] -deps = ["Libdl", "SIMD"] -git-tree-sha1 = "9cc2955f2a254b18be655a4ee70bc4031b2b189e" -uuid = "7b38b023-a4d7-4c5e-8d43-3f3097f304eb" -version = "0.3.0" - -[[Serialization]] -uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b" - -[[SharedArrays]] -deps = ["Distributed", "Mmap", "Random", "Serialization"] -uuid = "1a1011a3-84de-559e-8e89-a11a2f7dc383" - -[[Sockets]] -uuid = "6462fe0b-24de-5631-8697-dd941f90decc" - -[[SparseArrays]] -deps = ["LinearAlgebra", "Random"] -uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf" - -[[StableRNGs]] -deps = ["Random", "Test"] -git-tree-sha1 = "b57c4216b6c163a3a9d674f6b9f7b99cdccdb959" -uuid = "860ef19b-820b-49d6-a774-d7a799459cd3" -version = "0.1.2" - -[[Statistics]] -deps = ["LinearAlgebra", "SparseArrays"] -uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" - -[[TOML]] -deps = ["Dates"] -uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76" - -[[Tar]] -deps = ["ArgTools", "SHA"] -uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e" - -[[Test]] -deps = ["InteractiveUtils", "Logging", "Random", "Serialization"] -uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40" - -[[TranscodingStreams]] -deps = ["Random", "Test"] -git-tree-sha1 = "7c53c35547de1c5b9d46a4797cf6d8253807108c" -uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa" -version = "0.9.5" - -[[Twiddle]] -git-tree-sha1 = "29509c4862bfb5da9e76eb6937125ab93986270a" -uuid = "7200193e-83a8-5a55-b20d-5d36d44a0795" -version = "1.1.2" - -[[URIs]] -git-tree-sha1 = "97bbe755a53fe859669cd907f2d96aee8d2c1355" -uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4" -version = "1.3.0" - -[[UUIDs]] -deps = ["Random", "SHA"] -uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4" - -[[Unicode]] -uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5" - -[[XAM]] -deps = ["Automa", "BGZFStreams", "BioAlignments", "BioGenerics", "BioSequences", "GenomicFeatures", "Indexes", "Printf", "TranscodingStreams"] -git-tree-sha1 = "a71e8a6d88e3ef9949319031eefe262b0fa8b5ab" -uuid = "d759349c-bcba-11e9-07c2-5b90f8f05f7c" -version = "0.2.7" - -[[XML2_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "Zlib_jll"] -git-tree-sha1 = "afd2b541e8fd425cd3b7aa55932a257035ab4a70" -uuid = "02c8fc9c-b97f-50b9-bbe4-9be30ff0a78a" -version = "2.9.11+0" - -[[XMLDict]] -deps = ["EzXML", "IterTools", "OrderedCollections"] -git-tree-sha1 = "d9a3faf078210e477b291c79117676fca54da9dd" -uuid = "228000da-037f-5747-90a9-8195ccbf91a5" -version = "0.4.1" - -[[Zlib_jll]] -deps = ["Libdl"] -uuid = "83775a58-1f1d-513f-b197-d71354ab007a" - -[[nghttp2_jll]] -deps = ["Artifacts", "Libdl"] -uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d" - -[[p7zip_jll]] -deps = ["Artifacts", "Libdl"] -uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" diff --git a/RNASeq_Coverage/Project.toml b/RNASeq_Coverage/Project.toml deleted file mode 100644 index 14c1705..0000000 --- a/RNASeq_Coverage/Project.toml +++ /dev/null @@ -1,4 +0,0 @@ -[deps] -BioAlignments = "00701ae9-d1dc-5365-b64a-a3a3ebf5695e" -BioServices = "a0d4ced5-b29c-5395-b614-ca030a679c4b" -XAM = "d759349c-bcba-11e9-07c2-5b90f8f05f7c" diff --git a/RNASeq_Coverage/RNA-Seq Coverage.ipynb b/RNASeq_Coverage/RNA-Seq Coverage.ipynb deleted file mode 100644 index e7febd5..0000000 --- a/RNASeq_Coverage/RNA-Seq Coverage.ipynb +++ /dev/null @@ -1,1025 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# RNA-Seq Coverage\n", - "\n", - "**This tutorial is VERY outdated**\n", - "\n", - "Requirements:\n", - "* Julia 0.5\n", - "* Bio.jl 0.4\n", - "* PlotlyJS.jl 0.4\n", - "* ProgressMeter 0.3\n", - "\n", - "In this tutorial we uses a public RNA-Seq data downloaded from the Sequence Read Archive (SRA): http://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR1238088. Paired-end FASTQ sequence files were extracted from the archive file and aligned to the reference genome as follows:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```\n", - "$ fastq-dump --gzip --skip-technical --readids --split-files SRR1238088.sra\n", - "$ hisat2 -x ../TAIR/TAIR10 -1 SRR1238088_1.fastq.gz -2 SRR1238088_2.fastq.gz | samtools view -b - >SRR1238088.bam\n", - "$ samtools sort -O bam -T tmp SRR1238088.bam >SRR1238088.sort.bam\n", - "$ samtools index SRR1238088.sort.bam\n", - "$ rm SRR1238088.bam\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The size of the sorted BAM file is about 1.9GB and its summary is shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "total 13218272\n", - "-rw-r--r--+ 1 kenta staff 1.9G Sep 9 00:51 SRR1238088.sort.bam\n", - "-rw-r--r--+ 1 kenta staff 332K Sep 9 09:32 SRR1238088.sort.bam.bai\n", - "-rw-r--r--@ 1 kenta staff 1.8G Sep 8 23:00 SRR1238088.sra\n", - "-rw-r--r--+ 1 kenta staff 1.3G Sep 8 23:28 SRR1238088_1.fastq.gz\n", - "-rw-r--r--+ 1 kenta staff 1.3G Sep 8 23:28 SRR1238088_2.fastq.gz\n" - ] - } - ], - "source": [ - ";ls -lh SRR1238088/" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "30498603 + 0 in total (QC-passed reads + QC-failed reads)\n", - "857967 + 0 secondary\n", - "0 + 0 supplementary\n", - "0 + 0 duplicates\n", - "28040186 + 0 mapped (91.94%:nan%)\n", - "29640636 + 0 paired in sequencing\n", - "14820318 + 0 read1\n", - "14820318 + 0 read2\n", - "25878214 + 0 properly paired (87.31%:nan%)\n", - "26262350 + 0 with itself and mate mapped\n", - "919869 + 0 singletons (3.10%:nan%)\n", - "3476 + 0 with mate mapped to a different chr\n", - "2896 + 0 with mate mapped to a different chr (mapQ>=5)\n" - ] - } - ], - "source": [ - ";samtools flagstat SRR1238088/SRR1238088.sort.bam" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Before processing we need to open the BAM file using the `BAMReader` type exported from the `Bio.Align` module. The index file can be specified by passing its file path to the `index` keyword argument:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "using Bio.Align" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Bio.Align.BAMReader{IOStream}:\n", - " header keys: SQ, PG, HD\n", - " number of contigs: 7" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "bamfile = \"SRR1238088/SRR1238088.sort.bam\"\n", - "reader = open(BAMReader, bamfile, index=bamfile * \".bai\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Like an I/O object in Julia an object of `BAMReader` is a stateful iterator itself. You can iterate over BAM records stored in a file using the `for` loop and any iterator iterface will work as you expect. For example, `first(reader)` shows the first BAM record in a file:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Bio.Align.BAMRecord:\n", - " sequence name: SRR1238088.5209417.1\n", - " reference name: Chr1\n", - " leftmost position: 3661\n", - " next reference name: Chr1\n", - " next leftmost position: 3677\n", - " mapping quality: 255\n", - " flag: 99\n", - " template length: 116\n", - " CIGAR string: 101M1S\n", - " sequence: CAAATACATAATCGGAGAAATACAGATTACAGAGAGCGAGAGAGATCGACGGCGAAGCTCTTTACCCGGAAACCATTGAAATCGGACGGTTTAGTGAAAATC\n", - " base qualities: Int8[34,34,34,37,37,37,37,37,39,39,39,39,39,41,41,41,41,41,41,41,41,41,41,41,41,40,41,41,41,41,41,41,40,41,35,40,36,39,39,40,40,41,41,41,40,40,40,41,41,41,38,39,39,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,33,35,35,35,32,35,34,34,35,35,35,35,34,35,35,35,33,33,35,35,24,30,33,29,34,25,31,31,35,35,35,25,34]\n", - " optional fields: Bio.Align.AuxDataDict(Pair{String,Any}(\"AS\",-1),Pair{String,Any}(\"XN\",0x00),Pair{String,Any}(\"XM\",0x00),Pair{String,Any}(\"XO\",0x00),Pair{String,Any}(\"XG\",0x00),Pair{String,Any}(\"NM\",0x00),Pair{String,Any}(\"MD\",\"101\"),Pair{String,Any}(\"YS\",0x00),Pair{String,Any}(\"YT\",\"CP\"),Pair{String,Any}(\"NH\",0x01))" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "first(reader)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Extracting records overlapping a genomic region is quite fast and easy with a BAM index (BAI). The following is the range of a protein coding gene: ." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3731116" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# AT3G11820\n", - "chrom = \"Chr3\"\n", - "leftpos = 3729305\n", - "rightpos = 3731116" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`intersect(, , )` returns an iterator of BAM records that overlaps the specified genomic range. Let's check that the number of returned records matches that of `samtools view`:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "830" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "count(_ -> true, intersect(reader, chrom, leftpos:rightpos))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 830\n" - ] - } - ], - "source": [ - ";samtools view SRR1238088/SRR1238088.sort.bam Chr3:3729305-3731116 | wc -l" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Okay, it works well. Then check the first fifteen records of it:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SRR1238088.13346922.2\tChr3:3662721-3733539\t88M70722N9M3S\n", - "SRR1238088.12180187.2\tChr3:3705145-3767348\t20M146N66M61961N11M3S\n", - "SRR1238088.7829610.1\tChr3:3729207-3729307\t1S101M\n", - "SRR1238088.3490156.1\tChr3:3729309-3729409\t101M1S\n", - "SRR1238088.5572010.1\tChr3:3729333-3729433\t101M1S\n", - "SRR1238088.12490810.2\tChr3:3729333-3729431\t1S99M\n", - "SRR1238088.9535898.1\tChr3:3729334-3729434\t101M1S\n", - "SRR1238088.12050459.1\tChr3:3729341-3729442\t102M\n", - "SRR1238088.12050459.2\tunmapped\n", - "SRR1238088.5768605.2\tChr3:3729342-3729441\t100M\n", - "SRR1238088.12490810.1\tChr3:3729353-3729454\t102M\n", - "SRR1238088.3490156.2\tChr3:3729357-3729456\t100M\n", - "SRR1238088.5768605.1\tChr3:3729357-3729457\t1S101M\n", - "SRR1238088.9535898.2\tChr3:3729361-3729460\t100M\n", - "SRR1238088.554152.2\tChr3:3729374-3729473\t100M\n" - ] - } - ], - "source": [ - "intsect = intersect(reader, chrom, leftpos:rightpos)\n", - "for record in take(intsect, 15)\n", - " showcompact(record)\n", - " println()\n", - "end" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The result of `intersect` is reusable unless the BAM reader is closed." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Bio.Align.BAMIntersectionIterator{IOStream}()" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "intsect" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Bio.Align.BAMRecord:\n", - " sequence name: SRR1238088.13346922.2\n", - " reference name: Chr3\n", - " leftmost position: 3662721\n", - " next reference name: Chr3\n", - " next leftmost position: 3662713\n", - " mapping quality: 255\n", - " flag: 161\n", - " template length: 0\n", - " CIGAR string: 88M70722N9M3S\n", - " sequence: AGAAATCGAGAACGAGAAGCGAGCGAGAGTGATGGTTGAGAAAGTTTGTGATGAACTAGCAAGAGACATAAGCGAAGACAAAGCCGCAGTTAAAGAAATC\n", - " base qualities: Int8[31,31,35,35,35,36,37,39,30,35,37,37,38,39,31,38,36,39,40,39,38,36,39,38,36,39,39,31,37,14,30,37,32,37,37,23,34,39,35,37,31,28,28,31,28,34,31,35,34,32,30,32,36,37,38,37,35,36,37,37,36,34,36,35,36,36,34,34,35,34,35,35,35,33,30,33,35,35,34,34,35,34,34,24,17,24,24,20,27,17,29,34,34,34,31,34,31,35,34,25]\n", - " optional fields: Bio.Align.AuxDataDict(Pair{String,Any}(\"AS\",-10),Pair{String,Any}(\"ZS\",-14),Pair{String,Any}(\"XN\",0x00),Pair{String,Any}(\"XM\",0x01),Pair{String,Any}(\"XO\",0x00),Pair{String,Any}(\"XG\",0x00),Pair{String,Any}(\"NM\",0x01),Pair{String,Any}(\"MD\",\"86A10\"),Pair{String,Any}(\"YT\",\"UP\"),Pair{String,Any}(\"XS\",'+'),Pair{String,Any}(\"NH\",0x03))" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "record = first(intsect)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "An aligned position of a nucleotide can be computed using the `seq2ref` function. This function returns a pair of the aligned position and its operation. For example, the second nucleotide is aligned to a reference position at 3,662,722 with matching (M):" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(3662722,M)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "seq2ref(alignment(record), 2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "On the other hand the last nucleotide is aligned (or inserted) to 3,733,539 with soft clipping (S):" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(3733539,S)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "seq2ref(alignment(record), 100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following code calculates the coverage of mapped records within the range:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# count the number of mapped records\n", - "n = 0\n", - "\n", - "# coverage counts\n", - "cov = zeros(Int, rightpos - leftpos + 1)\n", - "\n", - "# iterate over overlapping BAM records\n", - "for rec in intsect\n", - " # skip unmapped records\n", - " if !ismapped(rec)\n", - " continue\n", - " end\n", - " \n", - " # increment the counter\n", - " n += 1\n", - " \n", - " # extract alignment data from the BAM record\n", - " aln = alignment(rec)\n", - " \n", - " for i in 1:seqlength(rec)\n", - " # ses2ref maps a sequence position (i) to\n", - " # the corresponding reference position (j)\n", - " j, op = seq2ref(aln, i)\n", - " \n", - " # the alignment operation (op) must be a maching\n", - " # one to contribute the coverage and drop in\n", - " # the query range\n", - " if ismatchop(op) && leftpos ≤ j ≤ rightpos\n", - " cov[j - leftpos + 1] += 1\n", - " end\n", - " end\n", - "end" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The number of mapped records is:" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "804" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Visualizing the coverage count is very easy using PlotlyJS.jl package." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - "

Plotly javascript loaded.

\n", - "

To load again call 

init_notebook(true)

\n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: Method definition require(Symbol) in module Base at loading.jl:345 overwritten in module Main at /Users/kenta/.julia/v0.5/Requires/src/require.jl:12.\n" - ] - } - ], - "source": [ - "using PlotlyJS" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "plot(scatter(x=leftpos:rightpos, y=cov), Layout(title=\"AT3G11820.1\"))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Making it as a function is a good idea to enhance reusability:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "coveragemap (generic function with 1 method)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "function coveragemap(reader, chrom, range)\n", - " n = 0\n", - " cov = zeros(Int, length(range))\n", - " for rec in intersect(reader, chrom, range)\n", - " if !ismapped(rec)\n", - " continue\n", - " end\n", - " n += 1\n", - " aln = alignment(rec)\n", - " for i in 1:seqlength(rec)\n", - " j, op = seq2ref(aln, i)\n", - " if ismatchop(op) && j in range\n", - " cov[j - first(range) + 1] += 1\n", - " end\n", - " end\n", - " end\n", - " return cov, n\n", - "end" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This function makes it possible to visualize multiple gene converages without setting their ranges by hand. Here we use a GFF3 annotation data file to retrieve mRNA ranges. " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Chr1\tTAIR10\tchromosome\t1\t30427671\t.\t.\t.\tID=Chr1;Name=Chr1\n", - "Chr1\tTAIR10\tgene\t3631\t5899\t.\t+\t.\tID=AT1G01010;Note=protein_coding_gene;Name=AT1G01010\n", - "Chr1\tTAIR10\tmRNA\t3631\t5899\t.\t+\t.\tID=AT1G01010.1;Parent=AT1G01010;Name=AT1G01010.1;Index=1\n", - "Chr1\tTAIR10\tprotein\t3760\t5630\t.\t+\t.\tID=AT1G01010.1-Protein;Name=AT1G01010.1;Derives_from=AT1G01010.1\n", - "Chr1\tTAIR10\texon\t3631\t3913\t.\t+\t.\tParent=AT1G01010.1\n" - ] - } - ], - "source": [ - ";cat TAIR/TAIR10_GFF3_genes.gff | head -5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Julia can quickly create a pipeline to extract interesting records from the GFF3 file using common UNIX commands:" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Chr2\tTAIR10\tmRNA\t1025\t2810\t.\t+\t.\tID=AT2G01008.1;Parent=AT2G01008;Name=AT2G01008.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t6571\t6672\t.\t+\t.\tID=AT2G01021.1;Parent=AT2G01021;Name=AT2G01021.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t9648\t9767\t.\t-\t.\tID=AT2G01023.1;Parent=AT2G01023;Name=AT2G01023.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t68337\t69884\t.\t-\t.\tID=AT2G01050.1;Parent=AT2G01050;Name=AT2G01050.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t73258\t75389\t.\t-\t.\tID=AT2G01060.1;Parent=AT2G01060;Name=AT2G01060.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t73258\t75378\t.\t-\t.\tID=AT2G01060.2;Parent=AT2G01060;Name=AT2G01060.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t75520\t77865\t.\t+\t.\tID=AT2G01070.1;Parent=AT2G01070;Name=AT2G01070.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t75520\t77865\t.\t+\t.\tID=AT2G01070.2;Parent=AT2G01070;Name=AT2G01070.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t77888\t79334\t.\t+\t.\tID=AT2G01080.1;Parent=AT2G01080;Name=AT2G01080.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t79989\t81200\t.\t+\t.\tID=AT2G01090.1;Parent=AT2G01090;Name=AT2G01090.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t79989\t81710\t.\t+\t.\tID=AT2G01090.2;Parent=AT2G01090;Name=AT2G01090.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t81437\t83290\t.\t+\t.\tID=AT2G01100.1;Parent=AT2G01100;Name=AT2G01100.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t81436\t83217\t.\t+\t.\tID=AT2G01100.2;Parent=AT2G01100;Name=AT2G01100.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t81440\t83217\t.\t+\t.\tID=AT2G01100.3;Parent=AT2G01100;Name=AT2G01100.3;Index=1\n", - "Chr2\tTAIR10\tmRNA\t83260\t85229\t.\t-\t.\tID=AT2G01110.1;Parent=AT2G01110;Name=AT2G01110.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t85401\t88186\t.\t+\t.\tID=AT2G01120.1;Parent=AT2G01120;Name=AT2G01120.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t85416\t88181\t.\t+\t.\tID=AT2G01120.2;Parent=AT2G01120;Name=AT2G01120.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t88559\t94660\t.\t-\t.\tID=AT2G01130.1;Parent=AT2G01130;Name=AT2G01130.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t94811\t96655\t.\t-\t.\tID=AT2G01140.1;Parent=AT2G01140;Name=AT2G01140.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t100649\t101495\t.\t+\t.\tID=AT2G01150.1;Parent=AT2G01150;Name=AT2G01150.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t102194\t104549\t.\t-\t.\tID=AT2G01170.1;Parent=AT2G01170;Name=AT2G01170.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t102211\t104515\t.\t-\t.\tID=AT2G01170.2;Parent=AT2G01170;Name=AT2G01170.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t104884\t106216\t.\t-\t.\tID=AT2G01175.1;Parent=AT2G01175;Name=AT2G01175.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t106900\t108803\t.\t-\t.\tID=AT2G01180.1;Parent=AT2G01180;Name=AT2G01180.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t106901\t108611\t.\t-\t.\tID=AT2G01180.2;Parent=AT2G01180;Name=AT2G01180.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t114975\t117640\t.\t+\t.\tID=AT2G01190.1;Parent=AT2G01190;Name=AT2G01190.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t118017\t119332\t.\t+\t.\tID=AT2G01200.1;Parent=AT2G01200;Name=AT2G01200.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t118018\t119342\t.\t+\t.\tID=AT2G01200.2;Parent=AT2G01200;Name=AT2G01200.2;Index=1\n", - "Chr2\tTAIR10\tmRNA\t119441\t121846\t.\t-\t.\tID=AT2G01210.1;Parent=AT2G01210;Name=AT2G01210.1;Index=1\n", - "Chr2\tTAIR10\tmRNA\t123276\t126407\t.\t+\t.\tID=AT2G01220.1;Parent=AT2G01220;Name=AT2G01220.1;Index=1\n" - ] - } - ], - "source": [ - "pl = pipeline(\n", - " `cat TAIR/TAIR10_GFF3_genes.gff`,\n", - " `grep ^Chr2`,\n", - " `grep \"\\tmRNA\\t\"`,\n", - " `head -30`)\n", - "for line in eachline(pl)\n", - " print(line)\n", - "end" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Visualize the coverage of genes shown above:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ps = []\n", - "for line in eachline(pl)\n", - " chrom, _, _, leftpos, rightpos, _, _, _, fields = split(line, '\\t')\n", - " range = parse(Int, leftpos):parse(Int, rightpos)\n", - " cov, n = coveragemap(reader, chrom, range)\n", - " push!(ps, plot(scatter(x=range, y=cov), Layout(title=split(fields, ';')[1])))\n", - "end\n", - "p = [ps...]\n", - "p.plot.layout[\"height\"] = 80 * length(ps)\n", - "p.plot.layout[\"showlegend\"] = false\n", - "p" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you'd like to apply `coveragemap` all over a chromosome or a genome the performance is important. The BAM reader and algorithms, which are written in pure Julia, are carefully tuned and the process will finish within a reasonable time. Let's apply `coveragemap` to all mRNA regions in chromosome 2:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "pipeline(pipeline(`cat TAIR/TAIR10_GFF3_genes.gff`, stdout=`grep ^Chr2`), stdout=`grep '\\tmRNA\\t'`)" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pl = pipeline(\n", - " `cat TAIR/TAIR10_GFF3_genes.gff`,\n", - " `grep ^Chr2`,\n", - " `grep \"\\tmRNA\\t\"`)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "chr2_mrna = readlines(pl);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The number of all mRNAs in chromosome 2 is:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "5560" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "length(chr2_mrna)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the next snippet we just compute the coverage without plotting." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# ProgressMeter.jl is useful for long-running analysis.\n", - "using ProgressMeter" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Progress: 100%|█████████████████████████████████████████| Time: 0:01:28\n" - ] - } - ], - "source": [ - "@showprogress for line in chr2_mrna\n", - " chrom, _, _, leftpos, rightpos, _, _, _, fields = split(line, '\\t')\n", - " range = parse(Int, leftpos):parse(Int, rightpos)\n", - " coveragemap(reader, chrom, range)\n", - " # no plotting\n", - "end" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Julia 0.5.0-rc4", - "language": "julia", - "name": "julia-0.5" - }, - "language_info": { - "file_extension": ".jl", - "mimetype": "application/julia", - "name": "julia", - "version": "0.5.0" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/RNASeq_Coverage/rnaseq_coverage.jl b/RNASeq_Coverage/rnaseq_coverage.jl deleted file mode 100644 index e6d738a..0000000 --- a/RNASeq_Coverage/rnaseq_coverage.jl +++ /dev/null @@ -1,17 +0,0 @@ -# RNA-Seq Coverage -# -# **Requirements**: -# -# - Julia 1.6+ -# - BioSequences.jl v2 -# - BioAlignments.jl v2 -# - Xam.jl -# - ProgressMeters.jl -# -# In this tutorial we uses a public RNA-Seq data downloaded from the Sequence Read Archive (SRA): -# http://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR1238088. -# Paired-end FASTQ sequence files were extracted from the archive file -# and aligned to a reference genome using a couple of non-julia programs -# - -# ... 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+ +/* Dark Mode Colors */ +[data-theme="dark"] { + --color-brand: #42d392; + --color-brand-light: #5bd8a0; + --color-brand-dark: #3eaf7c; + + --color-text: #e5e5e5; + --color-text-light: #a8b1c1; + --color-text-lighter: #7c8594; + + --color-bg: #1a1a1a; + --color-bg-soft: #242424; + --color-bg-mute: #2e2e2e; + + --color-border: #3a3a3a; + --color-border-light: #2e2e2e; + + --color-code-bg: #2e2e2e; + --color-code-text: #a8b1c1; +} + +/* System preference dark mode (when no explicit theme set) */ +@media (prefers-color-scheme: dark) { + :root:not([data-theme="light"]) { + --color-brand: #42d392; + --color-brand-light: #5bd8a0; + --color-brand-dark: #3eaf7c; + + --color-text: #e5e5e5; + --color-text-light: #a8b1c1; + --color-text-lighter: #7c8594; + + --color-bg: #1a1a1a; + --color-bg-soft: #242424; + --color-bg-mute: #2e2e2e; + + --color-border: #3a3a3a; + --color-border-light: #2e2e2e; + + --color-code-bg: #2e2e2e; + --color-code-text: #a8b1c1; + } +} + +/* ================================================================== + Reset & Base + ================================================================== */ + +*, *::before, *::after { + box-sizing: border-box; +} + +html { + font-family: var(--font-family); + font-size: 16px; + line-height: 1.7; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +body { + margin: 0; + padding: 0; + min-height: 100vh; + color: var(--color-text); + background-color: var(--color-bg); +} + +/* ================================================================== + Header / Navigation + ================================================================== */ + +.site-header { + position: sticky; + top: 0; + z-index: 100; + background-color: var(--color-bg); + border-bottom: 1px solid var(--color-border); + height: var(--header-height); +} + +.header-content { + max-width: var(--content-width); + margin: 0 auto; + padding: 0 24px; + height: 100%; + display: flex; + align-items: center; + justify-content: space-between; +} + +.header-left { + display: flex; + align-items: center; + gap: 24px; +} + +.logo-link { + display: flex; + align-items: center; + gap: 8px; + text-decoration: none; + color: var(--color-text); + font-weight: 600; + font-size: 18px; +} + +.logo-link:hover { + color: var(--color-brand); +} + +.logo-link img { + height: 24px; + width: auto; +} + +.header-nav { + display: flex; + align-items: center; + gap: 8px; +} + +.header-nav a { + padding: 4px 12px; + color: var(--color-text-light); + text-decoration: none; + font-size: 14px; + font-weight: 500; + border-radius: 6px; + transition: color 0.2s, background-color 0.2s; +} + +.header-nav a:hover { + color: var(--color-brand); + background-color: var(--color-bg-soft); +} + +.header-nav a.active { + color: var(--color-brand); +} + +/* Theme Toggle */ +.theme-toggle { + display: flex; + align-items: center; + justify-content: center; + width: 36px; + height: 36px; + border: none; + background: transparent; + border-radius: 6px; + cursor: pointer; + color: var(--color-text-light); + transition: color 0.2s, background-color 0.2s; +} + +.theme-toggle:hover { + color: var(--color-brand); + background-color: var(--color-bg-soft); +} + +.theme-toggle svg { + width: 20px; + height: 20px; +} + +/* Show/hide icons based on theme */ +.theme-toggle .icon-sun { + display: none; +} + +.theme-toggle .icon-moon { + display: block; +} + +[data-theme="dark"] .theme-toggle .icon-sun { + display: block; +} + +[data-theme="dark"] .theme-toggle .icon-moon { + display: none; +} + +@media (prefers-color-scheme: dark) { + :root:not([data-theme="light"]) .theme-toggle .icon-sun { + display: block; + } + :root:not([data-theme="light"]) .theme-toggle .icon-moon { + display: none; + } +} + +/* ================================================================== + Main Content + ================================================================== */ + +.franklin-content { + max-width: var(--content-width); + margin: 0 auto; + padding: 32px 24px 64px; +} + +/* ================================================================== + Typography + ================================================================== */ + +h1, h2, h3, h4, h5, h6 { + margin: 0; + line-height: 1.25; + font-weight: 600; + color: var(--color-text); +} + +h1 { + font-size: 32px; + margin-bottom: 24px; + letter-spacing: -0.02em; +} + +h2 { + font-size: 24px; + margin-top: 48px; + margin-bottom: 16px; + padding-bottom: 12px; + border-bottom: 1px solid var(--color-border); +} + +h3 { + font-size: 20px; + margin-top: 32px; + margin-bottom: 12px; +} + +h4 { + font-size: 18px; + margin-top: 24px; + margin-bottom: 8px; +} + +p { + margin: 0 0 16px; +} + +a { + color: var(--color-brand); + text-decoration: none; + font-weight: 500; +} + +a:hover { + text-decoration: underline; +} + +strong { + font-weight: 600; +} + +/* ================================================================== + Lists + ================================================================== */ + +ul, ol { + margin: 0 0 16px; + padding-left: 24px; +} + +li { + margin-bottom: 8px; +} + +li > ul, li > ol { + margin-top: 8px; + margin-bottom: 0; +} + +/* ================================================================== + Code + ================================================================== */ + +code { + font-family: var(--font-family-mono); + font-size: 14px; + background-color: var(--color-code-bg); + padding: 2px 6px; + border-radius: 4px; + color: var(--color-code-text); +} + +pre { + margin: 0 0 24px; + padding: 16px 20px; + background-color: var(--color-bg-soft); + border-radius: 8px; + overflow-x: auto; + line-height: 1.5; +} + +pre code { + padding: 0; + background: none; + font-size: 14px; +} + +.hljs { + background: var(--color-bg-soft); + padding: 16px 20px; + border-radius: 8px; + font-size: 14px; + line-height: 1.5; +} + +.code-output { + background: var(--color-bg-mute); + border: none; + border-left: 3px solid var(--color-border); + margin-top: -20px; + margin-bottom: 24px; + border-radius: 0 8px 8px 0; +} + +/* ================================================================== + Blockquotes + ================================================================== */ + +blockquote { + margin: 16px 0; + padding: 12px 16px; + background-color: var(--color-bg-soft); + border-left: 4px solid var(--color-brand); + border-radius: 0 8px 8px 0; + color: var(--color-text-light); +} + +blockquote p { + margin: 0; +} + +blockquote p + p { + margin-top: 12px; +} + +/* ================================================================== + Tables + ================================================================== */ + +table { + width: 100%; + border-collapse: collapse; + margin: 16px 0 24px; + font-size: 14px; +} + +th, td { + padding: 12px 16px; + text-align: left; + border: 1px solid var(--color-border); +} + +th { + background-color: var(--color-bg-soft); + font-weight: 600; +} + +tr:nth-child(even) { + background-color: var(--color-bg-soft); +} + +/* ================================================================== + Images + ================================================================== */ + +img { + max-width: 100%; + height: auto; + border-radius: 8px; +} + +.franklin-content img { + display: block; + margin: 24px auto; +} + +/* ================================================================== + Post List (from utils.jl hfun_list_posts) + ================================================================== */ + +.post-preview { + padding: 24px 0; + border-bottom: 1px solid var(--color-border-light); +} + +.post-preview:first-child { + padding-top: 0; +} + +.post-preview:last-child { + border-bottom: none; +} + +.post-preview h2 { + margin: 0 0 8px; + padding: 0; + border: none; + font-size: 20px; +} + +.post-preview h2 a { + color: var(--color-text); + font-weight: 600; +} + +.post-preview h2 a:hover { + color: var(--color-brand); + text-decoration: none; +} + +.post-preview .description { + margin: 0 0 12px; + color: var(--color-text-light); + font-size: 15px; + line-height: 1.6; +} + +.post-preview .post-meta { + margin: 0; + color: var(--color-text-lighter); + font-size: 14px; +} + +/* ================================================================== + Footer + ================================================================== */ + +.page-foot { + max-width: var(--content-width); + margin: 0 auto; + padding: 32px 24px; + border-top: 1px solid var(--color-border); + text-align: center; + font-size: 14px; + color: var(--color-text-lighter); +} + +.page-foot a { + color: var(--color-text-light); + font-weight: 400; +} + +.page-foot a:hover { + color: var(--color-brand); +} + +/* ================================================================== + Utility Classes + ================================================================== */ + +.text-center { + text-align: center; +} + +/* ================================================================== + KaTeX + ================================================================== */ + +.katex { + font-size: 1.1em !important; +} + +.katex-display { + margin: 24px 0; + overflow-x: auto; +} + +/* ================================================================== + Footnotes + ================================================================== */ + +.franklin-content .footnote { + font-size: 12px; + vertical-align: super; +} + +.franklin-content table.fndef { + margin: 24px 0; + border: none; +} + +.franklin-content .fndef tr { + border: none; + border-left: 2px solid var(--color-border); +} + +.franklin-content .fndef td { + border: none; + padding: 4px 12px; + font-size: 14px; +} + +/* ================================================================== + TOC + ================================================================== */ + +.franklin-toc { + background-color: var(--color-bg-soft); + padding: 16px 24px; + border-radius: 8px; + margin-bottom: 32px; +} + +.franklin-toc ol { + margin: 0; + padding-left: 20px; +} + +.franklin-toc li { + margin: 8px 0; + font-size: 14px; +} + +/* ================================================================== + Responsive + ================================================================== */ + +@media (max-width: 640px) { + :root { + --header-height: 56px; + } + + h1 { + font-size: 26px; + } + + h2 { + font-size: 20px; + } + + .franklin-content { + padding: 24px 16px 48px; + } + + .header-content { + padding: 0 16px; + } + + .header-left { + gap: 16px; + } + + .logo-link span { + display: none; + } +} diff --git a/_layout/foot.html b/_layout/foot.html new file mode 100644 index 0000000..ebe1ddf --- /dev/null +++ b/_layout/foot.html @@ -0,0 +1,53 @@ + + + {{ if hasmath }} + {{ insert foot_katex.html }} + {{ end }} + {{ if hascode }} + {{ insert foot_highlight.html }} + {{ end }} + + + diff --git a/_layout/foot_highlight.html b/_layout/foot_highlight.html new file mode 100644 index 0000000..121a549 --- /dev/null +++ b/_layout/foot_highlight.html @@ -0,0 +1,10 @@ + + diff --git a/_layout/foot_katex.html b/_layout/foot_katex.html new file mode 100644 index 0000000..0ced1eb --- /dev/null +++ b/_layout/foot_katex.html @@ -0,0 +1,3 @@ + + + diff --git a/_layout/head.html b/_layout/head.html new file mode 100644 index 0000000..c047220 --- /dev/null +++ b/_layout/head.html @@ -0,0 +1,24 @@ + + + + + + + {{if hasmath}} {{insert head_katex.html }} {{end}} + {{if hascode}} {{insert head_highlight.html }} {{end}} + {{ insert head_mixin.html }} + + {{isdef title}} {{fill title}} - BioJulia {{end}} + + + {{insert header.html}} +
+ diff --git a/_layout/head_highlight.html b/_layout/head_highlight.html new file mode 100644 index 0000000..90b04c5 --- /dev/null +++ b/_layout/head_highlight.html @@ -0,0 +1,12 @@ + + + diff --git a/_layout/head_katex.html b/_layout/head_katex.html new file mode 100644 index 0000000..755f249 --- /dev/null +++ b/_layout/head_katex.html @@ -0,0 +1 @@ + diff --git a/_layout/head_mixin.html b/_layout/head_mixin.html new file mode 100644 index 0000000..e9e5647 --- /dev/null +++ b/_layout/head_mixin.html @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/_layout/header.html b/_layout/header.html new file mode 100644 index 0000000..89418a9 --- /dev/null +++ b/_layout/header.html @@ -0,0 +1,29 @@ +
+
+
+ + BioJulia + BioJulia + +
+ +
+
diff --git a/_layout/page_foot.html b/_layout/page_foot.html new file mode 100644 index 0000000..9e717bc --- /dev/null +++ b/_layout/page_foot.html @@ -0,0 +1,6 @@ +
+ CC BY-SA 4.0 {{ fill author }} + {{isnotpage /tag/*}} · Last modified: {{ fill fd_mtime }}{{end}} +
+ Built with Xranklin.jl +
diff --git a/_layout/tag.html b/_layout/tag.html new file mode 100644 index 0000000..4368b90 --- /dev/null +++ b/_layout/tag.html @@ -0,0 +1,17 @@ + + + + + + {{ insert head_mixin.html }} + Tag: {{fill fd_tag}} + + + {{insert header.html}} +
+

Tag: {{fill fd_tag}}

+ {{taglist}} + {{insert page_foot.html}} +
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+contains:g}]}]},n,{className:"bullet",begin:"^[ \t]*([*+-]|(\\d+\\.))(?=\\s+)", +end:"\\s+",excludeEnd:!0},i,s,{className:"quote",begin:"^>\\s+",contains:g, +end:"$"},{className:"code",variants:[{begin:"(`{3,})[^`](.|\\n)*?\\1`*[ ]*"},{ +begin:"(~{3,})[^~](.|\\n)*?\\1~*[ ]*"},{begin:"```",end:"```+[ ]*$"},{ +begin:"~~~",end:"~~~+[ ]*$"},{begin:"`.+?`"},{begin:"(?=^( {4}|\\t))", +contains:[{begin:"^( {4}|\\t)",end:"(\\n)$"}],relevance:0}]},{ +begin:"^[-\\*]{3,}",end:"$"},a,{begin:/^\[[^\n]+\]:/,returnBegin:!0,contains:[{ +className:"symbol",begin:/\[/,end:/\]/,excludeBegin:!0,excludeEnd:!0},{ +className:"link",begin:/:\s*/,end:/$/,excludeBegin:!0}]}]}}})() +;hljs.registerLanguage("markdown",e)})(); diff --git a/_libs/highlight/julia-custom.min.js b/_libs/highlight/julia-custom.min.js new file mode 100644 index 0000000..9992615 --- /dev/null +++ b/_libs/highlight/julia-custom.min.js @@ -0,0 +1,3149 @@ +/*! + Highlight.js v11.0.0 (git: fd3df920dc) + (c) 2006-2021 Ivan Sagalaev and other contributors + License: BSD-3-Clause + */ +var hljs = (function () { + 'use strict'; + + var deepFreezeEs6 = {exports: {}}; + + function deepFreeze(obj) { + if (obj instanceof Map) { + obj.clear = obj.delete = obj.set = function () { + throw new Error('map is read-only'); + }; + } else if (obj instanceof Set) { + obj.add = obj.clear = obj.delete = function () { + throw new Error('set is read-only'); + }; + } + + // Freeze self + Object.freeze(obj); + + Object.getOwnPropertyNames(obj).forEach(function (name) { + var prop = obj[name]; + + // Freeze prop if it is an object + if (typeof prop == 'object' && !Object.isFrozen(prop)) { + deepFreeze(prop); + } + }); + + return obj; + } + + deepFreezeEs6.exports = deepFreeze; + deepFreezeEs6.exports.default = deepFreeze; + + var deepFreeze$1 = deepFreezeEs6.exports; + + /** @typedef {import('highlight.js').CallbackResponse} CallbackResponse */ + /** @typedef {import('highlight.js').CompiledMode} CompiledMode */ + /** @implements CallbackResponse */ + + class Response { + /** + * @param {CompiledMode} mode + */ + constructor(mode) { + // eslint-disable-next-line no-undefined + if (mode.data === undefined) mode.data = {}; + + this.data = mode.data; + this.isMatchIgnored = false; + } + + ignoreMatch() { + this.isMatchIgnored = true; + } + } + + /** + * @param {string} value + * @returns {string} + */ + function escapeHTML(value) { + return value + .replace(/&/g, '&') + .replace(//g, '>') + .replace(/"/g, '"') + .replace(/'/g, '''); + } + + /** + * performs a shallow merge of multiple objects into one + * + * @template T + * @param {T} original + * @param {Record[]} objects + * @returns {T} a single new object + */ + function inherit$1(original, ...objects) { + /** @type Record */ + const result = Object.create(null); + + for (const key in original) { + result[key] = original[key]; + } + objects.forEach(function(obj) { + for (const key in obj) { + result[key] = obj[key]; + } + }); + return /** @type {T} */ (result); + } + + /** + * @typedef {object} Renderer + * @property {(text: string) => void} addText + * @property {(node: Node) => void} openNode + * @property {(node: Node) => void} closeNode + * @property {() => string} value + */ + + /** @typedef {{kind?: string, sublanguage?: boolean}} Node */ + /** @typedef {{walk: (r: Renderer) => void}} Tree */ + /** */ + + const SPAN_CLOSE = ''; + + /** + * Determines if a node needs to be wrapped in + * + * @param {Node} node */ + const emitsWrappingTags = (node) => { + return !!node.kind; + }; + + /** + * + * @param {string} name + * @param {{prefix:string}} options + */ + const expandScopeName = (name, { prefix }) => { + if (name.includes(".")) { + const pieces = name.split("."); + return [ + `${prefix}${pieces.shift()}`, + ...(pieces.map((x, i) => `${x}${"_".repeat(i + 1)}`)) + ].join(" "); + } + return `${prefix}${name}`; + }; + + /** @type {Renderer} */ + class HTMLRenderer { + /** + * Creates a new HTMLRenderer + * + * @param {Tree} parseTree - the parse tree (must support `walk` API) + * @param {{classPrefix: string}} options + */ + constructor(parseTree, options) { + this.buffer = ""; + this.classPrefix = options.classPrefix; + parseTree.walk(this); + } + + /** + * Adds texts to the output stream + * + * @param {string} text */ + addText(text) { + this.buffer += escapeHTML(text); + } + + /** + * Adds a node open to the output stream (if needed) + * + * @param {Node} node */ + openNode(node) { + if (!emitsWrappingTags(node)) return; + + let scope = node.kind; + if (node.sublanguage) { + scope = `language-${scope}`; + } else { + scope = expandScopeName(scope, { prefix: this.classPrefix }); + } + this.span(scope); + } + + /** + * Adds a node close to the output stream (if needed) + * + * @param {Node} node */ + closeNode(node) { + if (!emitsWrappingTags(node)) return; + + this.buffer += SPAN_CLOSE; + } + + /** + * returns the accumulated buffer + */ + value() { + return this.buffer; + } + + // helpers + + /** + * Builds a span element + * + * @param {string} className */ + span(className) { + this.buffer += ``; + } + } + + /** @typedef {{kind?: string, sublanguage?: boolean, children: Node[]} | string} Node */ + /** @typedef {{kind?: string, sublanguage?: boolean, children: Node[]} } DataNode */ + /** @typedef {import('highlight.js').Emitter} Emitter */ + /** */ + + class TokenTree { + constructor() { + /** @type DataNode */ + this.rootNode = { children: [] }; + this.stack = [this.rootNode]; + } + + get top() { + return this.stack[this.stack.length - 1]; + } + + get root() { return this.rootNode; } + + /** @param {Node} node */ + add(node) { + this.top.children.push(node); + } + + /** @param {string} kind */ + openNode(kind) { + /** @type Node */ + const node = { kind, children: [] }; + this.add(node); + this.stack.push(node); + } + + closeNode() { + if (this.stack.length > 1) { + return this.stack.pop(); + } + // eslint-disable-next-line no-undefined + return undefined; + } + + closeAllNodes() { + while (this.closeNode()); + } + + toJSON() { + return JSON.stringify(this.rootNode, null, 4); + } + + /** + * @typedef { import("./html_renderer").Renderer } Renderer + * @param {Renderer} builder + */ + walk(builder) { + // this does not + return this.constructor._walk(builder, this.rootNode); + // this works + // return TokenTree._walk(builder, this.rootNode); + } + + /** + * @param {Renderer} builder + * @param {Node} node + */ + static _walk(builder, node) { + if (typeof node === "string") { + builder.addText(node); + } else if (node.children) { + builder.openNode(node); + node.children.forEach((child) => this._walk(builder, child)); + builder.closeNode(node); + } + return builder; + } + + /** + * @param {Node} node + */ + static _collapse(node) { + if (typeof node === "string") return; + if (!node.children) return; + + if (node.children.every(el => typeof el === "string")) { + // node.text = node.children.join(""); + // delete node.children; + node.children = [node.children.join("")]; + } else { + node.children.forEach((child) => { + TokenTree._collapse(child); + }); + } + } + } + + /** + Currently this is all private API, but this is the minimal API necessary + that an Emitter must implement to fully support the parser. + + Minimal interface: + + - addKeyword(text, kind) + - addText(text) + - addSublanguage(emitter, subLanguageName) + - finalize() + - openNode(kind) + - closeNode() + - closeAllNodes() + - toHTML() + + */ + + /** + * @implements {Emitter} + */ + class TokenTreeEmitter extends TokenTree { + /** + * @param {*} options + */ + constructor(options) { + super(); + this.options = options; + } + + /** + * @param {string} text + * @param {string} kind + */ + addKeyword(text, kind) { + if (text === "") { return; } + + this.openNode(kind); + this.addText(text); + this.closeNode(); + } + + /** + * @param {string} text + */ + addText(text) { + if (text === "") { return; } + + this.add(text); + } + + /** + * @param {Emitter & {root: DataNode}} emitter + * @param {string} name + */ + addSublanguage(emitter, name) { + /** @type DataNode */ + const node = emitter.root; + node.kind = name; + node.sublanguage = true; + this.add(node); + } + + toHTML() { + const renderer = new HTMLRenderer(this, this.options); + return renderer.value(); + } + + finalize() { + return true; + } + } + + /** + * @param {string} value + * @returns {RegExp} + * */ + + /** + * @param {RegExp | string } re + * @returns {string} + */ + function source(re) { + if (!re) return null; + if (typeof re === "string") return re; + + return re.source; + } + + /** + * @param {RegExp | string } re + * @returns {string} + */ + function lookahead(re) { + return concat('(?=', re, ')'); + } + + /** + * @param {...(RegExp | string) } args + * @returns {string} + */ + function concat(...args) { + const joined = args.map((x) => source(x)).join(""); + return joined; + } + + function stripOptionsFromArgs(args) { + const opts = args[args.length - 1]; + + if (typeof opts === 'object' && opts.constructor === Object) { + args.splice(args.length - 1, 1); + return opts; + } else { + return {}; + } + } + + /** + * Any of the passed expresssions may match + * + * Creates a huge this | this | that | that match + * @param {(RegExp | string)[] } args + * @returns {string} + */ + function either(...args) { + const opts = stripOptionsFromArgs(args); + const joined = '(' + + (opts.capture ? "" : "?:") + + args.map((x) => source(x)).join("|") + ")"; + return joined; + } + + /** + * @param {RegExp} re + * @returns {number} + */ + function countMatchGroups(re) { + return (new RegExp(re.toString() + '|')).exec('').length - 1; + } + + /** + * Does lexeme start with a regular expression match at the beginning + * @param {RegExp} re + * @param {string} lexeme + */ + function startsWith(re, lexeme) { + const match = re && re.exec(lexeme); + return match && match.index === 0; + } + + // BACKREF_RE matches an open parenthesis or backreference. To avoid + // an incorrect parse, it additionally matches the following: + // - [...] elements, where the meaning of parentheses and escapes change + // - other escape sequences, so we do not misparse escape sequences as + // interesting elements + // - non-matching or lookahead parentheses, which do not capture. These + // follow the '(' with a '?'. + const BACKREF_RE = /\[(?:[^\\\]]|\\.)*\]|\(\??|\\([1-9][0-9]*)|\\./; + + // **INTERNAL** Not intended for outside usage + // join logically computes regexps.join(separator), but fixes the + // backreferences so they continue to match. + // it also places each individual regular expression into it's own + // match group, keeping track of the sequencing of those match groups + // is currently an exercise for the caller. :-) + /** + * @param {(string | RegExp)[]} regexps + * @param {{joinWith: string}} opts + * @returns {string} + */ + function _rewriteBackreferences(regexps, { joinWith }) { + let numCaptures = 0; + + return regexps.map((regex) => { + numCaptures += 1; + const offset = numCaptures; + let re = source(regex); + let out = ''; + + while (re.length > 0) { + const match = BACKREF_RE.exec(re); + if (!match) { + out += re; + break; + } + out += re.substring(0, match.index); + re = re.substring(match.index + match[0].length); + if (match[0][0] === '\\' && match[1]) { + // Adjust the backreference. + out += '\\' + String(Number(match[1]) + offset); + } else { + out += match[0]; + if (match[0] === '(') { + numCaptures++; + } + } + } + return out; + }).map(re => `(${re})`).join(joinWith); + } + + /** @typedef {import('highlight.js').Mode} Mode */ + /** @typedef {import('highlight.js').ModeCallback} ModeCallback */ + + // Common regexps + const MATCH_NOTHING_RE = /\b\B/; + const IDENT_RE = '[a-zA-Z]\\w*'; + const UNDERSCORE_IDENT_RE = '[a-zA-Z_]\\w*'; + const NUMBER_RE = '\\b\\d+(\\.\\d+)?'; + const C_NUMBER_RE = '(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)'; // 0x..., 0..., decimal, float + const BINARY_NUMBER_RE = '\\b(0b[01]+)'; // 0b... + const RE_STARTERS_RE = '!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~'; + + /** + * @param { Partial & {binary?: string | RegExp} } opts + */ + const SHEBANG = (opts = {}) => { + const beginShebang = /^#![ ]*\//; + if (opts.binary) { + opts.begin = concat( + beginShebang, + /.*\b/, + opts.binary, + /\b.*/); + } + return inherit$1({ + scope: 'meta', + begin: beginShebang, + end: /$/, + relevance: 0, + /** @type {ModeCallback} */ + "on:begin": (m, resp) => { + if (m.index !== 0) resp.ignoreMatch(); + } + }, opts); + }; + + // Common modes + const BACKSLASH_ESCAPE = { + begin: '\\\\[\\s\\S]', relevance: 0 + }; + const APOS_STRING_MODE = { + scope: 'string', + begin: '\'', + end: '\'', + illegal: '\\n', + contains: [BACKSLASH_ESCAPE] + }; + const QUOTE_STRING_MODE = { + scope: 'string', + begin: '"', + end: '"', + illegal: '\\n', + contains: [BACKSLASH_ESCAPE] + }; + const PHRASAL_WORDS_MODE = { + begin: /\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/ + }; + /** + * Creates a comment mode + * + * @param {string | RegExp} begin + * @param {string | RegExp} end + * @param {Mode | {}} [modeOptions] + * @returns {Partial} + */ + const COMMENT = function(begin, end, modeOptions = {}) { + const mode = inherit$1( + { + scope: 'comment', + begin, + end, + contains: [] + }, + modeOptions + ); + mode.contains.push({ + scope: 'doctag', + // hack to avoid the space from being included. the space is necessary to + // match here to prevent the plain text rule below from gobbling up doctags + begin: '[ ]*(?=(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):)', + end: /(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):/, + excludeBegin: true, + relevance: 0 + }); + const ENGLISH_WORD = either( + // list of common 1 and 2 letter words in English + "I", + "a", + "is", + "so", + "us", + "to", + "at", + "if", + "in", + "it", + "on", + // note: this is not an exhaustive list of contractions, just popular ones + /[A-Za-z]+['](d|ve|re|ll|t|s|n)/, // contractions - can't we'd they're let's, etc + /[A-Za-z]+[-][a-z]+/, // `no-way`, etc. + /[A-Za-z][a-z]{2,}/ // allow capitalized words at beginning of sentences + ); + // looking like plain text, more likely to be a comment + mode.contains.push( + { + // TODO: how to include ", (, ) without breaking grammars that use these for + // comment delimiters? + // begin: /[ ]+([()"]?([A-Za-z'-]{3,}|is|a|I|so|us|[tT][oO]|at|if|in|it|on)[.]?[()":]?([.][ ]|[ ]|\))){3}/ + // --- + + // this tries to find sequences of 3 english words in a row (without any + // "programming" type syntax) this gives us a strong signal that we've + // TRULY found a comment - vs perhaps scanning with the wrong language. + // It's possible to find something that LOOKS like the start of the + // comment - but then if there is no readable text - good chance it is a + // false match and not a comment. + // + // for a visual example please see: + // https://github.com/highlightjs/highlight.js/issues/2827 + + begin: concat( + /[ ]+/, // necessary to prevent us gobbling up doctags like /* @author Bob Mcgill */ + '(', + ENGLISH_WORD, + /[.]?[:]?([.][ ]|[ ])/, + '){3}') // look for 3 words in a row + } + ); + return mode; + }; + const C_LINE_COMMENT_MODE = COMMENT('//', '$'); + const C_BLOCK_COMMENT_MODE = COMMENT('/\\*', '\\*/'); + const HASH_COMMENT_MODE = COMMENT('#', '$'); + const NUMBER_MODE = { + scope: 'number', + begin: NUMBER_RE, + relevance: 0 + }; + const C_NUMBER_MODE = { + scope: 'number', + begin: C_NUMBER_RE, + relevance: 0 + }; + const BINARY_NUMBER_MODE = { + scope: 'number', + begin: BINARY_NUMBER_RE, + relevance: 0 + }; + const REGEXP_MODE = { + // this outer rule makes sure we actually have a WHOLE regex and not simply + // an expression such as: + // + // 3 / something + // + // (which will then blow up when regex's `illegal` sees the newline) + begin: /(?=\/[^/\n]*\/)/, + contains: [{ + scope: 'regexp', + begin: /\//, + end: /\/[gimuy]*/, + illegal: /\n/, + contains: [ + BACKSLASH_ESCAPE, + { + begin: /\[/, + end: /\]/, + relevance: 0, + contains: [BACKSLASH_ESCAPE] + } + ] + }] + }; + const TITLE_MODE = { + scope: 'title', + begin: IDENT_RE, + relevance: 0 + }; + const UNDERSCORE_TITLE_MODE = { + scope: 'title', + begin: UNDERSCORE_IDENT_RE, + relevance: 0 + }; + const METHOD_GUARD = { + // excludes method names from keyword processing + begin: '\\.\\s*' + UNDERSCORE_IDENT_RE, + relevance: 0 + }; + + /** + * Adds end same as begin mechanics to a mode + * + * Your mode must include at least a single () match group as that first match + * group is what is used for comparison + * @param {Partial} mode + */ + const END_SAME_AS_BEGIN = function(mode) { + return Object.assign(mode, + { + /** @type {ModeCallback} */ + 'on:begin': (m, resp) => { resp.data._beginMatch = m[1]; }, + /** @type {ModeCallback} */ + 'on:end': (m, resp) => { if (resp.data._beginMatch !== m[1]) resp.ignoreMatch(); } + }); + }; + + var MODES = /*#__PURE__*/Object.freeze({ + __proto__: null, + MATCH_NOTHING_RE: MATCH_NOTHING_RE, + IDENT_RE: IDENT_RE, + UNDERSCORE_IDENT_RE: UNDERSCORE_IDENT_RE, + NUMBER_RE: NUMBER_RE, + C_NUMBER_RE: C_NUMBER_RE, + BINARY_NUMBER_RE: BINARY_NUMBER_RE, + RE_STARTERS_RE: RE_STARTERS_RE, + SHEBANG: SHEBANG, + BACKSLASH_ESCAPE: BACKSLASH_ESCAPE, + APOS_STRING_MODE: APOS_STRING_MODE, + QUOTE_STRING_MODE: QUOTE_STRING_MODE, + PHRASAL_WORDS_MODE: PHRASAL_WORDS_MODE, + COMMENT: COMMENT, + C_LINE_COMMENT_MODE: C_LINE_COMMENT_MODE, + C_BLOCK_COMMENT_MODE: C_BLOCK_COMMENT_MODE, + HASH_COMMENT_MODE: HASH_COMMENT_MODE, + NUMBER_MODE: NUMBER_MODE, + C_NUMBER_MODE: C_NUMBER_MODE, + BINARY_NUMBER_MODE: BINARY_NUMBER_MODE, + REGEXP_MODE: REGEXP_MODE, + TITLE_MODE: TITLE_MODE, + UNDERSCORE_TITLE_MODE: UNDERSCORE_TITLE_MODE, + METHOD_GUARD: METHOD_GUARD, + END_SAME_AS_BEGIN: END_SAME_AS_BEGIN + }); + + /** + @typedef {import('highlight.js').CallbackResponse} CallbackResponse + @typedef {import('highlight.js').CompilerExt} CompilerExt + */ + + // Grammar extensions / plugins + // See: https://github.com/highlightjs/highlight.js/issues/2833 + + // Grammar extensions allow "syntactic sugar" to be added to the grammar modes + // without requiring any underlying changes to the compiler internals. + + // `compileMatch` being the perfect small example of now allowing a grammar + // author to write `match` when they desire to match a single expression rather + // than being forced to use `begin`. The extension then just moves `match` into + // `begin` when it runs. Ie, no features have been added, but we've just made + // the experience of writing (and reading grammars) a little bit nicer. + + // ------ + + // TODO: We need negative look-behind support to do this properly + /** + * Skip a match if it has a preceding dot + * + * This is used for `beginKeywords` to prevent matching expressions such as + * `bob.keyword.do()`. The mode compiler automatically wires this up as a + * special _internal_ 'on:begin' callback for modes with `beginKeywords` + * @param {RegExpMatchArray} match + * @param {CallbackResponse} response + */ + function skipIfHasPrecedingDot(match, response) { + const before = match.input[match.index - 1]; + if (before === ".") { + response.ignoreMatch(); + } + } + + /** + * + * @type {CompilerExt} + */ + function scopeClassName(mode, _parent) { + // eslint-disable-next-line no-undefined + if (mode.className !== undefined) { + mode.scope = mode.className; + delete mode.className; + } + } + + /** + * `beginKeywords` syntactic sugar + * @type {CompilerExt} + */ + function beginKeywords(mode, parent) { + if (!parent) return; + if (!mode.beginKeywords) return; + + // for languages with keywords that include non-word characters checking for + // a word boundary is not sufficient, so instead we check for a word boundary + // or whitespace - this does no harm in any case since our keyword engine + // doesn't allow spaces in keywords anyways and we still check for the boundary + // first + mode.begin = '\\b(' + mode.beginKeywords.split(' ').join('|') + ')(?!\\.)(?=\\b|\\s)'; + mode.__beforeBegin = skipIfHasPrecedingDot; + mode.keywords = mode.keywords || mode.beginKeywords; + delete mode.beginKeywords; + + // prevents double relevance, the keywords themselves provide + // relevance, the mode doesn't need to double it + // eslint-disable-next-line no-undefined + if (mode.relevance === undefined) mode.relevance = 0; + } + + /** + * Allow `illegal` to contain an array of illegal values + * @type {CompilerExt} + */ + function compileIllegal(mode, _parent) { + if (!Array.isArray(mode.illegal)) return; + + mode.illegal = either(...mode.illegal); + } + + /** + * `match` to match a single expression for readability + * @type {CompilerExt} + */ + function compileMatch(mode, _parent) { + if (!mode.match) return; + if (mode.begin || mode.end) throw new Error("begin & end are not supported with match"); + + mode.begin = mode.match; + delete mode.match; + } + + /** + * provides the default 1 relevance to all modes + * @type {CompilerExt} + */ + function compileRelevance(mode, _parent) { + // eslint-disable-next-line no-undefined + if (mode.relevance === undefined) mode.relevance = 1; + } + + // allow beforeMatch to act as a "qualifier" for the match + // the full match begin must be [beforeMatch][begin] + const beforeMatchExt = (mode, parent) => { + if (!mode.beforeMatch) return; + // starts conflicts with endsParent which we need to make sure the child + // rule is not matched multiple times + if (mode.starts) throw new Error("beforeMatch cannot be used with starts"); + + const originalMode = Object.assign({}, mode); + Object.keys(mode).forEach((key) => { delete mode[key]; }); + + mode.keywords = originalMode.keywords; + mode.begin = concat(originalMode.beforeMatch, lookahead(originalMode.begin)); + mode.starts = { + relevance: 0, + contains: [ + Object.assign(originalMode, { endsParent: true }) + ] + }; + mode.relevance = 0; + + delete originalMode.beforeMatch; + }; + + // keywords that should have no default relevance value + const COMMON_KEYWORDS = [ + 'of', + 'and', + 'for', + 'in', + 'not', + 'or', + 'if', + 'then', + 'parent', // common variable name + 'list', // common variable name + 'value' // common variable name + ]; + + const DEFAULT_KEYWORD_SCOPE = "keyword"; + + /** + * Given raw keywords from a language definition, compile them. + * + * @param {string | Record | Array} rawKeywords + * @param {boolean} caseInsensitive + */ + function compileKeywords(rawKeywords, caseInsensitive, scopeName = DEFAULT_KEYWORD_SCOPE) { + /** @type KeywordDict */ + const compiledKeywords = Object.create(null); + + // input can be a string of keywords, an array of keywords, or a object with + // named keys representing scopeName (which can then point to a string or array) + if (typeof rawKeywords === 'string') { + compileList(scopeName, rawKeywords.split(" ")); + } else if (Array.isArray(rawKeywords)) { + compileList(scopeName, rawKeywords); + } else { + Object.keys(rawKeywords).forEach(function(scopeName) { + // collapse all our objects back into the parent object + Object.assign( + compiledKeywords, + compileKeywords(rawKeywords[scopeName], caseInsensitive, scopeName) + ); + }); + } + return compiledKeywords; + + // --- + + /** + * Compiles an individual list of keywords + * + * Ex: "for if when while|5" + * + * @param {string} scopeName + * @param {Array} keywordList + */ + function compileList(scopeName, keywordList) { + if (caseInsensitive) { + keywordList = keywordList.map(x => x.toLowerCase()); + } + keywordList.forEach(function(keyword) { + const pair = keyword.split('|'); + compiledKeywords[pair[0]] = [scopeName, scoreForKeyword(pair[0], pair[1])]; + }); + } + } + + /** + * Returns the proper score for a given keyword + * + * Also takes into account comment keywords, which will be scored 0 UNLESS + * another score has been manually assigned. + * @param {string} keyword + * @param {string} [providedScore] + */ + function scoreForKeyword(keyword, providedScore) { + // manual scores always win over common keywords + // so you can force a score of 1 if you really insist + if (providedScore) { + return Number(providedScore); + } + + return commonKeyword(keyword) ? 0 : 1; + } + + /** + * Determines if a given keyword is common or not + * + * @param {string} keyword */ + function commonKeyword(keyword) { + return COMMON_KEYWORDS.includes(keyword.toLowerCase()); + } + + /* + + For the reasoning behind this please see: + https://github.com/highlightjs/highlight.js/issues/2880#issuecomment-747275419 + + */ + + /** + * @type {Record} + */ + const seenDeprecations = {}; + + /** + * @param {string} message + */ + const error = (message) => { + console.error(message); + }; + + /** + * @param {string} message + * @param {any} args + */ + const warn = (message, ...args) => { + console.log(`WARN: ${message}`, ...args); + }; + + /** + * @param {string} version + * @param {string} message + */ + const deprecated = (version, message) => { + if (seenDeprecations[`${version}/${message}`]) return; + + console.log(`Deprecated as of ${version}. ${message}`); + seenDeprecations[`${version}/${message}`] = true; + }; + + /* eslint-disable no-throw-literal */ + + /** + @typedef {import('highlight.js').CompiledMode} CompiledMode + */ + + const MultiClassError = new Error(); + + /** + * Renumbers labeled scope names to account for additional inner match + * groups that otherwise would break everything. + * + * Lets say we 3 match scopes: + * + * { 1 => ..., 2 => ..., 3 => ... } + * + * So what we need is a clean match like this: + * + * (a)(b)(c) => [ "a", "b", "c" ] + * + * But this falls apart with inner match groups: + * + * (a)(((b)))(c) => ["a", "b", "b", "b", "c" ] + * + * Our scopes are now "out of alignment" and we're repeating `b` 3 times. + * What needs to happen is the numbers are remapped: + * + * { 1 => ..., 2 => ..., 5 => ... } + * + * We also need to know that the ONLY groups that should be output + * are 1, 2, and 5. This function handles this behavior. + * + * @param {CompiledMode} mode + * @param {Array} regexes + * @param {{key: "beginScope"|"endScope"}} opts + */ + function remapScopeNames(mode, regexes, { key }) { + let offset = 0; + const scopeNames = mode[key]; + /** @type Record */ + const emit = {}; + /** @type Record */ + const positions = {}; + + for (let i = 1; i <= regexes.length; i++) { + positions[i + offset] = scopeNames[i]; + emit[i + offset] = true; + offset += countMatchGroups(regexes[i - 1]); + } + // we use _emit to keep track of which match groups are "top-level" to avoid double + // output from inside match groups + mode[key] = positions; + mode[key]._emit = emit; + mode[key]._multi = true; + } + + /** + * @param {CompiledMode} mode + */ + function beginMultiClass(mode) { + if (!Array.isArray(mode.begin)) return; + + if (mode.skip || mode.excludeBegin || mode.returnBegin) { + error("skip, excludeBegin, returnBegin not compatible with beginScope: {}"); + throw MultiClassError; + } + + if (typeof mode.beginScope !== "object" || mode.beginScope === null) { + error("beginScope must be object"); + throw MultiClassError; + } + + remapScopeNames(mode, mode.begin, {key: "beginScope"}); + mode.begin = _rewriteBackreferences(mode.begin, { joinWith: "" }); + } + + /** + * @param {CompiledMode} mode + */ + function endMultiClass(mode) { + if (!Array.isArray(mode.end)) return; + + if (mode.skip || mode.excludeEnd || mode.returnEnd) { + error("skip, excludeEnd, returnEnd not compatible with endScope: {}"); + throw MultiClassError; + } + + if (typeof mode.endScope !== "object" || mode.endScope === null) { + error("endScope must be object"); + throw MultiClassError; + } + + remapScopeNames(mode, mode.end, {key: "endScope"}); + mode.end = _rewriteBackreferences(mode.end, { joinWith: "" }); + } + + /** + * this exists only to allow `scope: {}` to be used beside `match:` + * Otherwise `beginScope` would necessary and that would look weird + + { + match: [ /def/, /\w+/ ] + scope: { 1: "keyword" , 2: "title" } + } + + * @param {CompiledMode} mode + */ + function scopeSugar(mode) { + if (mode.scope && typeof mode.scope === "object" && mode.scope !== null) { + mode.beginScope = mode.scope; + delete mode.scope; + } + } + + /** + * @param {CompiledMode} mode + */ + function MultiClass(mode) { + scopeSugar(mode); + + if (typeof mode.beginScope === "string") { + mode.beginScope = { _wrap: mode.beginScope }; + } + if (typeof mode.endScope === "string") { + mode.endScope = { _wrap: mode.endScope }; + } + + beginMultiClass(mode); + endMultiClass(mode); + } + + /** + @typedef {import('highlight.js').Mode} Mode + @typedef {import('highlight.js').CompiledMode} CompiledMode + @typedef {import('highlight.js').Language} Language + @typedef {import('highlight.js').HLJSPlugin} HLJSPlugin + @typedef {import('highlight.js').CompiledLanguage} CompiledLanguage + */ + + // compilation + + /** + * Compiles a language definition result + * + * Given the raw result of a language definition (Language), compiles this so + * that it is ready for highlighting code. + * @param {Language} language + * @returns {CompiledLanguage} + */ + function compileLanguage(language) { + /** + * Builds a regex with the case sensitivity of the current language + * + * @param {RegExp | string} value + * @param {boolean} [global] + */ + function langRe(value, global) { + return new RegExp( + source(value), + 'm' + (language.case_insensitive ? 'i' : '') + (global ? 'g' : '') + ); + } + + /** + Stores multiple regular expressions and allows you to quickly search for + them all in a string simultaneously - returning the first match. It does + this by creating a huge (a|b|c) regex - each individual item wrapped with () + and joined by `|` - using match groups to track position. When a match is + found checking which position in the array has content allows us to figure + out which of the original regexes / match groups triggered the match. + + The match object itself (the result of `Regex.exec`) is returned but also + enhanced by merging in any meta-data that was registered with the regex. + This is how we keep track of which mode matched, and what type of rule + (`illegal`, `begin`, end, etc). + */ + class MultiRegex { + constructor() { + this.matchIndexes = {}; + // @ts-ignore + this.regexes = []; + this.matchAt = 1; + this.position = 0; + } + + // @ts-ignore + addRule(re, opts) { + opts.position = this.position++; + // @ts-ignore + this.matchIndexes[this.matchAt] = opts; + this.regexes.push([opts, re]); + this.matchAt += countMatchGroups(re) + 1; + } + + compile() { + if (this.regexes.length === 0) { + // avoids the need to check length every time exec is called + // @ts-ignore + this.exec = () => null; + } + const terminators = this.regexes.map(el => el[1]); + this.matcherRe = langRe(_rewriteBackreferences(terminators, { joinWith: '|' }), true); + this.lastIndex = 0; + } + + /** @param {string} s */ + exec(s) { + this.matcherRe.lastIndex = this.lastIndex; + const match = this.matcherRe.exec(s); + if (!match) { return null; } + + // eslint-disable-next-line no-undefined + const i = match.findIndex((el, i) => i > 0 && el !== undefined); + // @ts-ignore + const matchData = this.matchIndexes[i]; + // trim off any earlier non-relevant match groups (ie, the other regex + // match groups that make up the multi-matcher) + match.splice(0, i); + + return Object.assign(match, matchData); + } + } + + /* + Created to solve the key deficiently with MultiRegex - there is no way to + test for multiple matches at a single location. Why would we need to do + that? In the future a more dynamic engine will allow certain matches to be + ignored. An example: if we matched say the 3rd regex in a large group but + decided to ignore it - we'd need to started testing again at the 4th + regex... but MultiRegex itself gives us no real way to do that. + + So what this class creates MultiRegexs on the fly for whatever search + position they are needed. + + NOTE: These additional MultiRegex objects are created dynamically. For most + grammars most of the time we will never actually need anything more than the + first MultiRegex - so this shouldn't have too much overhead. + + Say this is our search group, and we match regex3, but wish to ignore it. + + regex1 | regex2 | regex3 | regex4 | regex5 ' ie, startAt = 0 + + What we need is a new MultiRegex that only includes the remaining + possibilities: + + regex4 | regex5 ' ie, startAt = 3 + + This class wraps all that complexity up in a simple API... `startAt` decides + where in the array of expressions to start doing the matching. It + auto-increments, so if a match is found at position 2, then startAt will be + set to 3. If the end is reached startAt will return to 0. + + MOST of the time the parser will be setting startAt manually to 0. + */ + class ResumableMultiRegex { + constructor() { + // @ts-ignore + this.rules = []; + // @ts-ignore + this.multiRegexes = []; + this.count = 0; + + this.lastIndex = 0; + this.regexIndex = 0; + } + + // @ts-ignore + getMatcher(index) { + if (this.multiRegexes[index]) return this.multiRegexes[index]; + + const matcher = new MultiRegex(); + this.rules.slice(index).forEach(([re, opts]) => matcher.addRule(re, opts)); + matcher.compile(); + this.multiRegexes[index] = matcher; + return matcher; + } + + resumingScanAtSamePosition() { + return this.regexIndex !== 0; + } + + considerAll() { + this.regexIndex = 0; + } + + // @ts-ignore + addRule(re, opts) { + this.rules.push([re, opts]); + if (opts.type === "begin") this.count++; + } + + /** @param {string} s */ + exec(s) { + const m = this.getMatcher(this.regexIndex); + m.lastIndex = this.lastIndex; + let result = m.exec(s); + + // The following is because we have no easy way to say "resume scanning at the + // existing position but also skip the current rule ONLY". What happens is + // all prior rules are also skipped which can result in matching the wrong + // thing. Example of matching "booger": + + // our matcher is [string, "booger", number] + // + // ....booger.... + + // if "booger" is ignored then we'd really need a regex to scan from the + // SAME position for only: [string, number] but ignoring "booger" (if it + // was the first match), a simple resume would scan ahead who knows how + // far looking only for "number", ignoring potential string matches (or + // future "booger" matches that might be valid.) + + // So what we do: We execute two matchers, one resuming at the same + // position, but the second full matcher starting at the position after: + + // /--- resume first regex match here (for [number]) + // |/---- full match here for [string, "booger", number] + // vv + // ....booger.... + + // Which ever results in a match first is then used. So this 3-4 step + // process essentially allows us to say "match at this position, excluding + // a prior rule that was ignored". + // + // 1. Match "booger" first, ignore. Also proves that [string] does non match. + // 2. Resume matching for [number] + // 3. Match at index + 1 for [string, "booger", number] + // 4. If #2 and #3 result in matches, which came first? + if (this.resumingScanAtSamePosition()) { + if (result && result.index === this.lastIndex) ; else { // use the second matcher result + const m2 = this.getMatcher(0); + m2.lastIndex = this.lastIndex + 1; + result = m2.exec(s); + } + } + + if (result) { + this.regexIndex += result.position + 1; + if (this.regexIndex === this.count) { + // wrap-around to considering all matches again + this.considerAll(); + } + } + + return result; + } + } + + /** + * Given a mode, builds a huge ResumableMultiRegex that can be used to walk + * the content and find matches. + * + * @param {CompiledMode} mode + * @returns {ResumableMultiRegex} + */ + function buildModeRegex(mode) { + const mm = new ResumableMultiRegex(); + + mode.contains.forEach(term => mm.addRule(term.begin, { rule: term, type: "begin" })); + + if (mode.terminatorEnd) { + mm.addRule(mode.terminatorEnd, { type: "end" }); + } + if (mode.illegal) { + mm.addRule(mode.illegal, { type: "illegal" }); + } + + return mm; + } + + /** skip vs abort vs ignore + * + * @skip - The mode is still entered and exited normally (and contains rules apply), + * but all content is held and added to the parent buffer rather than being + * output when the mode ends. Mostly used with `sublanguage` to build up + * a single large buffer than can be parsed by sublanguage. + * + * - The mode begin ands ends normally. + * - Content matched is added to the parent mode buffer. + * - The parser cursor is moved forward normally. + * + * @abort - A hack placeholder until we have ignore. Aborts the mode (as if it + * never matched) but DOES NOT continue to match subsequent `contains` + * modes. Abort is bad/suboptimal because it can result in modes + * farther down not getting applied because an earlier rule eats the + * content but then aborts. + * + * - The mode does not begin. + * - Content matched by `begin` is added to the mode buffer. + * - The parser cursor is moved forward accordingly. + * + * @ignore - Ignores the mode (as if it never matched) and continues to match any + * subsequent `contains` modes. Ignore isn't technically possible with + * the current parser implementation. + * + * - The mode does not begin. + * - Content matched by `begin` is ignored. + * - The parser cursor is not moved forward. + */ + + /** + * Compiles an individual mode + * + * This can raise an error if the mode contains certain detectable known logic + * issues. + * @param {Mode} mode + * @param {CompiledMode | null} [parent] + * @returns {CompiledMode | never} + */ + function compileMode(mode, parent) { + const cmode = /** @type CompiledMode */ (mode); + if (mode.isCompiled) return cmode; + + [ + scopeClassName, + // do this early so compiler extensions generally don't have to worry about + // the distinction between match/begin + compileMatch, + MultiClass, + beforeMatchExt + ].forEach(ext => ext(mode, parent)); + + language.compilerExtensions.forEach(ext => ext(mode, parent)); + + // __beforeBegin is considered private API, internal use only + mode.__beforeBegin = null; + + [ + beginKeywords, + // do this later so compiler extensions that come earlier have access to the + // raw array if they wanted to perhaps manipulate it, etc. + compileIllegal, + // default to 1 relevance if not specified + compileRelevance + ].forEach(ext => ext(mode, parent)); + + mode.isCompiled = true; + + let keywordPattern = null; + if (typeof mode.keywords === "object" && mode.keywords.$pattern) { + // we need a copy because keywords might be compiled multiple times + // so we can't go deleting $pattern from the original on the first + // pass + mode.keywords = Object.assign({}, mode.keywords); + keywordPattern = mode.keywords.$pattern; + delete mode.keywords.$pattern; + } + keywordPattern = keywordPattern || /\w+/; + + if (mode.keywords) { + mode.keywords = compileKeywords(mode.keywords, language.case_insensitive); + } + + cmode.keywordPatternRe = langRe(keywordPattern, true); + + if (parent) { + if (!mode.begin) mode.begin = /\B|\b/; + cmode.beginRe = langRe(mode.begin); + if (!mode.end && !mode.endsWithParent) mode.end = /\B|\b/; + if (mode.end) cmode.endRe = langRe(mode.end); + cmode.terminatorEnd = source(mode.end) || ''; + if (mode.endsWithParent && parent.terminatorEnd) { + cmode.terminatorEnd += (mode.end ? '|' : '') + parent.terminatorEnd; + } + } + if (mode.illegal) cmode.illegalRe = langRe(/** @type {RegExp | string} */ (mode.illegal)); + if (!mode.contains) mode.contains = []; + + mode.contains = [].concat(...mode.contains.map(function(c) { + return expandOrCloneMode(c === 'self' ? mode : c); + })); + mode.contains.forEach(function(c) { compileMode(/** @type Mode */ (c), cmode); }); + + if (mode.starts) { + compileMode(mode.starts, parent); + } + + cmode.matcher = buildModeRegex(cmode); + return cmode; + } + + if (!language.compilerExtensions) language.compilerExtensions = []; + + // self is not valid at the top-level + if (language.contains && language.contains.includes('self')) { + throw new Error("ERR: contains `self` is not supported at the top-level of a language. See documentation."); + } + + // we need a null object, which inherit will guarantee + language.classNameAliases = inherit$1(language.classNameAliases || {}); + + return compileMode(/** @type Mode */ (language)); + } + + /** + * Determines if a mode has a dependency on it's parent or not + * + * If a mode does have a parent dependency then often we need to clone it if + * it's used in multiple places so that each copy points to the correct parent, + * where-as modes without a parent can often safely be re-used at the bottom of + * a mode chain. + * + * @param {Mode | null} mode + * @returns {boolean} - is there a dependency on the parent? + * */ + function dependencyOnParent(mode) { + if (!mode) return false; + + return mode.endsWithParent || dependencyOnParent(mode.starts); + } + + /** + * Expands a mode or clones it if necessary + * + * This is necessary for modes with parental dependenceis (see notes on + * `dependencyOnParent`) and for nodes that have `variants` - which must then be + * exploded into their own individual modes at compile time. + * + * @param {Mode} mode + * @returns {Mode | Mode[]} + * */ + function expandOrCloneMode(mode) { + if (mode.variants && !mode.cachedVariants) { + mode.cachedVariants = mode.variants.map(function(variant) { + return inherit$1(mode, { variants: null }, variant); + }); + } + + // EXPAND + // if we have variants then essentially "replace" the mode with the variants + // this happens in compileMode, where this function is called from + if (mode.cachedVariants) { + return mode.cachedVariants; + } + + // CLONE + // if we have dependencies on parents then we need a unique + // instance of ourselves, so we can be reused with many + // different parents without issue + if (dependencyOnParent(mode)) { + return inherit$1(mode, { starts: mode.starts ? inherit$1(mode.starts) : null }); + } + + if (Object.isFrozen(mode)) { + return inherit$1(mode); + } + + // no special dependency issues, just return ourselves + return mode; + } + + var version = "11.0.0"; + + /* + Syntax highlighting with language autodetection. + https://highlightjs.org/ + */ + + /** + @typedef {import('highlight.js').Mode} Mode + @typedef {import('highlight.js').CompiledMode} CompiledMode + @typedef {import('highlight.js').Language} Language + @typedef {import('highlight.js').HLJSApi} HLJSApi + @typedef {import('highlight.js').HLJSPlugin} HLJSPlugin + @typedef {import('highlight.js').PluginEvent} PluginEvent + @typedef {import('highlight.js').HLJSOptions} HLJSOptions + @typedef {import('highlight.js').LanguageFn} LanguageFn + @typedef {import('highlight.js').HighlightedHTMLElement} HighlightedHTMLElement + @typedef {import('highlight.js').BeforeHighlightContext} BeforeHighlightContext + @typedef {import('highlight.js/private').MatchType} MatchType + @typedef {import('highlight.js/private').KeywordData} KeywordData + @typedef {import('highlight.js/private').EnhancedMatch} EnhancedMatch + @typedef {import('highlight.js/private').AnnotatedError} AnnotatedError + @typedef {import('highlight.js').AutoHighlightResult} AutoHighlightResult + @typedef {import('highlight.js').HighlightOptions} HighlightOptions + @typedef {import('highlight.js').HighlightResult} HighlightResult + */ + + + const escape = escapeHTML; + const inherit = inherit$1; + const NO_MATCH = Symbol("nomatch"); + const MAX_KEYWORD_HITS = 7; + + /** + * @param {any} hljs - object that is extended (legacy) + * @returns {HLJSApi} + */ + const HLJS = function(hljs) { + // Global internal variables used within the highlight.js library. + /** @type {Record} */ + const languages = Object.create(null); + /** @type {Record} */ + const aliases = Object.create(null); + /** @type {HLJSPlugin[]} */ + const plugins = []; + + // safe/production mode - swallows more errors, tries to keep running + // even if a single syntax or parse hits a fatal error + let SAFE_MODE = true; + const LANGUAGE_NOT_FOUND = "Could not find the language '{}', did you forget to load/include a language module?"; + /** @type {Language} */ + const PLAINTEXT_LANGUAGE = { disableAutodetect: true, name: 'Plain text', contains: [] }; + + // Global options used when within external APIs. This is modified when + // calling the `hljs.configure` function. + /** @type HLJSOptions */ + let options = { + ignoreUnescapedHTML: false, + noHighlightRe: /^(no-?highlight)$/i, + languageDetectRe: /\blang(?:uage)?-([\w-]+)\b/i, + classPrefix: 'hljs-', + cssSelector: 'pre code', + languages: null, + // beta configuration options, subject to change, welcome to discuss + // https://github.com/highlightjs/highlight.js/issues/1086 + __emitter: TokenTreeEmitter + }; + + /* Utility functions */ + + /** + * Tests a language name to see if highlighting should be skipped + * @param {string} languageName + */ + function shouldNotHighlight(languageName) { + return options.noHighlightRe.test(languageName); + } + + /** + * @param {HighlightedHTMLElement} block - the HTML element to determine language for + */ + function blockLanguage(block) { + let classes = block.className + ' '; + + classes += block.parentNode ? block.parentNode.className : ''; + + // language-* takes precedence over non-prefixed class names. + const match = options.languageDetectRe.exec(classes); + if (match) { + const language = getLanguage(match[1]); + if (!language) { + warn(LANGUAGE_NOT_FOUND.replace("{}", match[1])); + warn("Falling back to no-highlight mode for this block.", block); + } + return language ? match[1] : 'no-highlight'; + } + + return classes + .split(/\s+/) + .find((_class) => shouldNotHighlight(_class) || getLanguage(_class)); + } + + /** + * Core highlighting function. + * + * OLD API + * highlight(lang, code, ignoreIllegals, continuation) + * + * NEW API + * highlight(code, {lang, ignoreIllegals}) + * + * @param {string} codeOrLanguageName - the language to use for highlighting + * @param {string | HighlightOptions} optionsOrCode - the code to highlight + * @param {boolean} [ignoreIllegals] - whether to ignore illegal matches, default is to bail + * + * @returns {HighlightResult} Result - an object that represents the result + * @property {string} language - the language name + * @property {number} relevance - the relevance score + * @property {string} value - the highlighted HTML code + * @property {string} code - the original raw code + * @property {CompiledMode} top - top of the current mode stack + * @property {boolean} illegal - indicates whether any illegal matches were found + */ + function highlight(codeOrLanguageName, optionsOrCode, ignoreIllegals) { + let code = ""; + let languageName = ""; + if (typeof optionsOrCode === "object") { + code = codeOrLanguageName; + ignoreIllegals = optionsOrCode.ignoreIllegals; + languageName = optionsOrCode.language; + } else { + // old API + deprecated("10.7.0", "highlight(lang, code, ...args) has been deprecated."); + deprecated("10.7.0", "Please use highlight(code, options) instead.\nhttps://github.com/highlightjs/highlight.js/issues/2277"); + languageName = codeOrLanguageName; + code = optionsOrCode; + } + + // https://github.com/highlightjs/highlight.js/issues/3149 + // eslint-disable-next-line no-undefined + if (ignoreIllegals === undefined) { ignoreIllegals = true; } + + /** @type {BeforeHighlightContext} */ + const context = { + code, + language: languageName + }; + // the plugin can change the desired language or the code to be highlighted + // just be changing the object it was passed + fire("before:highlight", context); + + // a before plugin can usurp the result completely by providing it's own + // in which case we don't even need to call highlight + const result = context.result + ? context.result + : _highlight(context.language, context.code, ignoreIllegals); + + result.code = context.code; + // the plugin can change anything in result to suite it + fire("after:highlight", result); + + return result; + } + + /** + * private highlight that's used internally and does not fire callbacks + * + * @param {string} languageName - the language to use for highlighting + * @param {string} codeToHighlight - the code to highlight + * @param {boolean?} [ignoreIllegals] - whether to ignore illegal matches, default is to bail + * @param {CompiledMode?} [continuation] - current continuation mode, if any + * @returns {HighlightResult} - result of the highlight operation + */ + function _highlight(languageName, codeToHighlight, ignoreIllegals, continuation) { + const keywordHits = Object.create(null); + + /** + * Return keyword data if a match is a keyword + * @param {CompiledMode} mode - current mode + * @param {string} matchText - the textual match + * @returns {KeywordData | false} + */ + function keywordData(mode, matchText) { + return mode.keywords[matchText]; + } + + function processKeywords() { + if (!top.keywords) { + emitter.addText(modeBuffer); + return; + } + + let lastIndex = 0; + top.keywordPatternRe.lastIndex = 0; + let match = top.keywordPatternRe.exec(modeBuffer); + let buf = ""; + + while (match) { + buf += modeBuffer.substring(lastIndex, match.index); + const word = language.case_insensitive ? match[0].toLowerCase() : match[0]; + const data = keywordData(top, word); + if (data) { + const [kind, keywordRelevance] = data; + emitter.addText(buf); + buf = ""; + + keywordHits[word] = (keywordHits[word] || 0) + 1; + if (keywordHits[word] <= MAX_KEYWORD_HITS) relevance += keywordRelevance; + if (kind.startsWith("_")) { + // _ implied for relevance only, do not highlight + // by applying a class name + buf += match[0]; + } else { + const cssClass = language.classNameAliases[kind] || kind; + emitter.addKeyword(match[0], cssClass); + } + } else { + buf += match[0]; + } + lastIndex = top.keywordPatternRe.lastIndex; + match = top.keywordPatternRe.exec(modeBuffer); + } + buf += modeBuffer.substr(lastIndex); + emitter.addText(buf); + } + + function processSubLanguage() { + if (modeBuffer === "") return; + /** @type HighlightResult */ + let result = null; + + if (typeof top.subLanguage === 'string') { + if (!languages[top.subLanguage]) { + emitter.addText(modeBuffer); + return; + } + result = _highlight(top.subLanguage, modeBuffer, true, continuations[top.subLanguage]); + continuations[top.subLanguage] = /** @type {CompiledMode} */ (result._top); + } else { + result = highlightAuto(modeBuffer, top.subLanguage.length ? top.subLanguage : null); + } + + // Counting embedded language score towards the host language may be disabled + // with zeroing the containing mode relevance. Use case in point is Markdown that + // allows XML everywhere and makes every XML snippet to have a much larger Markdown + // score. + if (top.relevance > 0) { + relevance += result.relevance; + } + emitter.addSublanguage(result._emitter, result.language); + } + + function processBuffer() { + if (top.subLanguage != null) { + processSubLanguage(); + } else { + processKeywords(); + } + modeBuffer = ''; + } + + /** + * @param {CompiledMode} mode + * @param {RegExpMatchArray} match + */ + function emitMultiClass(scope, match) { + let i = 1; + // eslint-disable-next-line no-undefined + while (match[i] !== undefined) { + if (!scope._emit[i]) { i++; continue; } + const klass = language.classNameAliases[scope[i]] || scope[i]; + const text = match[i]; + if (klass) { + emitter.addKeyword(text, klass); + } else { + modeBuffer = text; + processKeywords(); + modeBuffer = ""; + } + i++; + } + } + + /** + * @param {CompiledMode} mode - new mode to start + * @param {RegExpMatchArray} match + */ + function startNewMode(mode, match) { + if (mode.scope && typeof mode.scope === "string") { + emitter.openNode(language.classNameAliases[mode.scope] || mode.scope); + } + if (mode.beginScope) { + // beginScope just wraps the begin match itself in a scope + if (mode.beginScope._wrap) { + emitter.addKeyword(modeBuffer, language.classNameAliases[mode.beginScope._wrap] || mode.beginScope._wrap); + modeBuffer = ""; + } else if (mode.beginScope._multi) { + // at this point modeBuffer should just be the match + emitMultiClass(mode.beginScope, match); + modeBuffer = ""; + } + } + + top = Object.create(mode, { parent: { value: top } }); + return top; + } + + /** + * @param {CompiledMode } mode - the mode to potentially end + * @param {RegExpMatchArray} match - the latest match + * @param {string} matchPlusRemainder - match plus remainder of content + * @returns {CompiledMode | void} - the next mode, or if void continue on in current mode + */ + function endOfMode(mode, match, matchPlusRemainder) { + let matched = startsWith(mode.endRe, matchPlusRemainder); + + if (matched) { + if (mode["on:end"]) { + const resp = new Response(mode); + mode["on:end"](match, resp); + if (resp.isMatchIgnored) matched = false; + } + + if (matched) { + while (mode.endsParent && mode.parent) { + mode = mode.parent; + } + return mode; + } + } + // even if on:end fires an `ignore` it's still possible + // that we might trigger the end node because of a parent mode + if (mode.endsWithParent) { + return endOfMode(mode.parent, match, matchPlusRemainder); + } + } + + /** + * Handle matching but then ignoring a sequence of text + * + * @param {string} lexeme - string containing full match text + */ + function doIgnore(lexeme) { + if (top.matcher.regexIndex === 0) { + // no more regexes to potentially match here, so we move the cursor forward one + // space + modeBuffer += lexeme[0]; + return 1; + } else { + // no need to move the cursor, we still have additional regexes to try and + // match at this very spot + resumeScanAtSamePosition = true; + return 0; + } + } + + /** + * Handle the start of a new potential mode match + * + * @param {EnhancedMatch} match - the current match + * @returns {number} how far to advance the parse cursor + */ + function doBeginMatch(match) { + const lexeme = match[0]; + const newMode = match.rule; + + const resp = new Response(newMode); + // first internal before callbacks, then the public ones + const beforeCallbacks = [newMode.__beforeBegin, newMode["on:begin"]]; + for (const cb of beforeCallbacks) { + if (!cb) continue; + cb(match, resp); + if (resp.isMatchIgnored) return doIgnore(lexeme); + } + + if (newMode.skip) { + modeBuffer += lexeme; + } else { + if (newMode.excludeBegin) { + modeBuffer += lexeme; + } + processBuffer(); + if (!newMode.returnBegin && !newMode.excludeBegin) { + modeBuffer = lexeme; + } + } + startNewMode(newMode, match); + return newMode.returnBegin ? 0 : lexeme.length; + } + + /** + * Handle the potential end of mode + * + * @param {RegExpMatchArray} match - the current match + */ + function doEndMatch(match) { + const lexeme = match[0]; + const matchPlusRemainder = codeToHighlight.substr(match.index); + + const endMode = endOfMode(top, match, matchPlusRemainder); + if (!endMode) { return NO_MATCH; } + + const origin = top; + if (top.endScope && top.endScope._wrap) { + processBuffer(); + emitter.addKeyword(lexeme, top.endScope._wrap); + } else if (top.endScope && top.endScope._multi) { + processBuffer(); + emitMultiClass(top.endScope, match); + } else if (origin.skip) { + modeBuffer += lexeme; + } else { + if (!(origin.returnEnd || origin.excludeEnd)) { + modeBuffer += lexeme; + } + processBuffer(); + if (origin.excludeEnd) { + modeBuffer = lexeme; + } + } + do { + if (top.scope && !top.isMultiClass) { + emitter.closeNode(); + } + if (!top.skip && !top.subLanguage) { + relevance += top.relevance; + } + top = top.parent; + } while (top !== endMode.parent); + if (endMode.starts) { + startNewMode(endMode.starts, match); + } + return origin.returnEnd ? 0 : lexeme.length; + } + + function processContinuations() { + const list = []; + for (let current = top; current !== language; current = current.parent) { + if (current.scope) { + list.unshift(current.scope); + } + } + list.forEach(item => emitter.openNode(item)); + } + + /** @type {{type?: MatchType, index?: number, rule?: Mode}}} */ + let lastMatch = {}; + + /** + * Process an individual match + * + * @param {string} textBeforeMatch - text preceding the match (since the last match) + * @param {EnhancedMatch} [match] - the match itself + */ + function processLexeme(textBeforeMatch, match) { + const lexeme = match && match[0]; + + // add non-matched text to the current mode buffer + modeBuffer += textBeforeMatch; + + if (lexeme == null) { + processBuffer(); + return 0; + } + + // we've found a 0 width match and we're stuck, so we need to advance + // this happens when we have badly behaved rules that have optional matchers to the degree that + // sometimes they can end up matching nothing at all + // Ref: https://github.com/highlightjs/highlight.js/issues/2140 + if (lastMatch.type === "begin" && match.type === "end" && lastMatch.index === match.index && lexeme === "") { + // spit the "skipped" character that our regex choked on back into the output sequence + modeBuffer += codeToHighlight.slice(match.index, match.index + 1); + if (!SAFE_MODE) { + /** @type {AnnotatedError} */ + const err = new Error(`0 width match regex (${languageName})`); + err.languageName = languageName; + err.badRule = lastMatch.rule; + throw err; + } + return 1; + } + lastMatch = match; + + if (match.type === "begin") { + return doBeginMatch(match); + } else if (match.type === "illegal" && !ignoreIllegals) { + // illegal match, we do not continue processing + /** @type {AnnotatedError} */ + const err = new Error('Illegal lexeme "' + lexeme + '" for mode "' + (top.scope || '') + '"'); + err.mode = top; + throw err; + } else if (match.type === "end") { + const processed = doEndMatch(match); + if (processed !== NO_MATCH) { + return processed; + } + } + + // edge case for when illegal matches $ (end of line) which is technically + // a 0 width match but not a begin/end match so it's not caught by the + // first handler (when ignoreIllegals is true) + if (match.type === "illegal" && lexeme === "") { + // advance so we aren't stuck in an infinite loop + return 1; + } + + // infinite loops are BAD, this is a last ditch catch all. if we have a + // decent number of iterations yet our index (cursor position in our + // parsing) still 3x behind our index then something is very wrong + // so we bail + if (iterations > 100000 && iterations > match.index * 3) { + const err = new Error('potential infinite loop, way more iterations than matches'); + throw err; + } + + /* + Why might be find ourselves here? An potential end match that was + triggered but could not be completed. IE, `doEndMatch` returned NO_MATCH. + (this could be because a callback requests the match be ignored, etc) + + This causes no real harm other than stopping a few times too many. + */ + + modeBuffer += lexeme; + return lexeme.length; + } + + const language = getLanguage(languageName); + if (!language) { + error(LANGUAGE_NOT_FOUND.replace("{}", languageName)); + throw new Error('Unknown language: "' + languageName + '"'); + } + + const md = compileLanguage(language); + let result = ''; + /** @type {CompiledMode} */ + let top = continuation || md; + /** @type Record */ + const continuations = {}; // keep continuations for sub-languages + const emitter = new options.__emitter(options); + processContinuations(); + let modeBuffer = ''; + let relevance = 0; + let index = 0; + let iterations = 0; + let resumeScanAtSamePosition = false; + + try { + top.matcher.considerAll(); + + for (;;) { + iterations++; + if (resumeScanAtSamePosition) { + // only regexes not matched previously will now be + // considered for a potential match + resumeScanAtSamePosition = false; + } else { + top.matcher.considerAll(); + } + top.matcher.lastIndex = index; + + const match = top.matcher.exec(codeToHighlight); + // console.log("match", match[0], match.rule && match.rule.begin) + + if (!match) break; + + const beforeMatch = codeToHighlight.substring(index, match.index); + const processedCount = processLexeme(beforeMatch, match); + index = match.index + processedCount; + } + processLexeme(codeToHighlight.substr(index)); + emitter.closeAllNodes(); + emitter.finalize(); + result = emitter.toHTML(); + + return { + language: languageName, + value: result, + relevance: relevance, + illegal: false, + _emitter: emitter, + _top: top + }; + } catch (err) { + if (err.message && err.message.includes('Illegal')) { + return { + language: languageName, + value: escape(codeToHighlight), + illegal: true, + relevance: 0, + _illegalBy: { + message: err.message, + index: index, + context: codeToHighlight.slice(index - 100, index + 100), + mode: err.mode, + resultSoFar: result + }, + _emitter: emitter + }; + } else if (SAFE_MODE) { + return { + language: languageName, + value: escape(codeToHighlight), + illegal: false, + relevance: 0, + errorRaised: err, + _emitter: emitter, + _top: top + }; + } else { + throw err; + } + } + } + + /** + * returns a valid highlight result, without actually doing any actual work, + * auto highlight starts with this and it's possible for small snippets that + * auto-detection may not find a better match + * @param {string} code + * @returns {HighlightResult} + */ + function justTextHighlightResult(code) { + const result = { + value: escape(code), + illegal: false, + relevance: 0, + _top: PLAINTEXT_LANGUAGE, + _emitter: new options.__emitter(options) + }; + result._emitter.addText(code); + return result; + } + + /** + Highlighting with language detection. Accepts a string with the code to + highlight. Returns an object with the following properties: + + - language (detected language) + - relevance (int) + - value (an HTML string with highlighting markup) + - secondBest (object with the same structure for second-best heuristically + detected language, may be absent) + + @param {string} code + @param {Array} [languageSubset] + @returns {AutoHighlightResult} + */ + function highlightAuto(code, languageSubset) { + languageSubset = languageSubset || options.languages || Object.keys(languages); + const plaintext = justTextHighlightResult(code); + + const results = languageSubset.filter(getLanguage).filter(autoDetection).map(name => + _highlight(name, code, false) + ); + results.unshift(plaintext); // plaintext is always an option + + const sorted = results.sort((a, b) => { + // sort base on relevance + if (a.relevance !== b.relevance) return b.relevance - a.relevance; + + // always award the tie to the base language + // ie if C++ and Arduino are tied, it's more likely to be C++ + if (a.language && b.language) { + if (getLanguage(a.language).supersetOf === b.language) { + return 1; + } else if (getLanguage(b.language).supersetOf === a.language) { + return -1; + } + } + + // otherwise say they are equal, which has the effect of sorting on + // relevance while preserving the original ordering - which is how ties + // have historically been settled, ie the language that comes first always + // wins in the case of a tie + return 0; + }); + + const [best, secondBest] = sorted; + + /** @type {AutoHighlightResult} */ + const result = best; + result.secondBest = secondBest; + + return result; + } + + /** + * Builds new class name for block given the language name + * + * @param {HTMLElement} element + * @param {string} [currentLang] + * @param {string} [resultLang] + */ + function updateClassName(element, currentLang, resultLang) { + const language = (currentLang && aliases[currentLang]) || resultLang; + + element.classList.add("hljs"); + element.classList.add(`language-${language}`); + } + + /** + * Applies highlighting to a DOM node containing code. + * + * @param {HighlightedHTMLElement} element - the HTML element to highlight + */ + function highlightElement(element) { + /** @type HTMLElement */ + let node = null; + const language = blockLanguage(element); + + if (shouldNotHighlight(language)) return; + + fire("before:highlightElement", + { el: element, language: language }); + + // we should be all text, no child nodes + if (!options.ignoreUnescapedHTML && element.children.length > 0) { + console.warn("One of your code blocks includes unescaped HTML. This is a potentially serious security risk."); + console.warn("https://github.com/highlightjs/highlight.js/issues/2886"); + console.warn(element); + } + + node = element; + const text = node.textContent; + const result = language ? highlight(text, { language, ignoreIllegals: true }) : highlightAuto(text); + + element.innerHTML = result.value; + updateClassName(element, language, result.language); + element.result = { + language: result.language, + // TODO: remove with version 11.0 + re: result.relevance, + relevance: result.relevance + }; + if (result.secondBest) { + element.secondBest = { + language: result.secondBest.language, + relevance: result.secondBest.relevance + }; + } + + fire("after:highlightElement", { el: element, result, text }); + } + + /** + * Updates highlight.js global options with the passed options + * + * @param {Partial} userOptions + */ + function configure(userOptions) { + options = inherit(options, userOptions); + } + + // TODO: remove v12, deprecated + const initHighlighting = () => { + highlightAll(); + deprecated("10.6.0", "initHighlighting() deprecated. Use highlightAll() now."); + }; + + // TODO: remove v12, deprecated + function initHighlightingOnLoad() { + highlightAll(); + deprecated("10.6.0", "initHighlightingOnLoad() deprecated. Use highlightAll() now."); + } + + let wantsHighlight = false; + + /** + * auto-highlights all pre>code elements on the page + */ + function highlightAll() { + // if we are called too early in the loading process + if (document.readyState === "loading") { + wantsHighlight = true; + return; + } + + const blocks = document.querySelectorAll(options.cssSelector); + blocks.forEach(highlightElement); + } + + function boot() { + // if a highlight was requested before DOM was loaded, do now + if (wantsHighlight) highlightAll(); + } + + // make sure we are in the browser environment + if (typeof window !== 'undefined' && window.addEventListener) { + window.addEventListener('DOMContentLoaded', boot, false); + } + + /** + * Register a language grammar module + * + * @param {string} languageName + * @param {LanguageFn} languageDefinition + */ + function registerLanguage(languageName, languageDefinition) { + let lang = null; + try { + lang = languageDefinition(hljs); + } catch (error$1) { + error("Language definition for '{}' could not be registered.".replace("{}", languageName)); + // hard or soft error + if (!SAFE_MODE) { throw error$1; } else { error(error$1); } + // languages that have serious errors are replaced with essentially a + // "plaintext" stand-in so that the code blocks will still get normal + // css classes applied to them - and one bad language won't break the + // entire highlighter + lang = PLAINTEXT_LANGUAGE; + } + // give it a temporary name if it doesn't have one in the meta-data + if (!lang.name) lang.name = languageName; + languages[languageName] = lang; + lang.rawDefinition = languageDefinition.bind(null, hljs); + + if (lang.aliases) { + registerAliases(lang.aliases, { languageName }); + } + } + + /** + * Remove a language grammar module + * + * @param {string} languageName + */ + function unregisterLanguage(languageName) { + delete languages[languageName]; + for (const alias of Object.keys(aliases)) { + if (aliases[alias] === languageName) { + delete aliases[alias]; + } + } + } + + /** + * @returns {string[]} List of language internal names + */ + function listLanguages() { + return Object.keys(languages); + } + + /** + * @param {string} name - name of the language to retrieve + * @returns {Language | undefined} + */ + function getLanguage(name) { + name = (name || '').toLowerCase(); + return languages[name] || languages[aliases[name]]; + } + + /** + * + * @param {string|string[]} aliasList - single alias or list of aliases + * @param {{languageName: string}} opts + */ + function registerAliases(aliasList, { languageName }) { + if (typeof aliasList === 'string') { + aliasList = [aliasList]; + } + aliasList.forEach(alias => { aliases[alias.toLowerCase()] = languageName; }); + } + + /** + * Determines if a given language has auto-detection enabled + * @param {string} name - name of the language + */ + function autoDetection(name) { + const lang = getLanguage(name); + return lang && !lang.disableAutodetect; + } + + /** + * Upgrades the old highlightBlock plugins to the new + * highlightElement API + * @param {HLJSPlugin} plugin + */ + function upgradePluginAPI(plugin) { + // TODO: remove with v12 + if (plugin["before:highlightBlock"] && !plugin["before:highlightElement"]) { + plugin["before:highlightElement"] = (data) => { + plugin["before:highlightBlock"]( + Object.assign({ block: data.el }, data) + ); + }; + } + if (plugin["after:highlightBlock"] && !plugin["after:highlightElement"]) { + plugin["after:highlightElement"] = (data) => { + plugin["after:highlightBlock"]( + Object.assign({ block: data.el }, data) + ); + }; + } + } + + /** + * @param {HLJSPlugin} plugin + */ + function addPlugin(plugin) { + upgradePluginAPI(plugin); + plugins.push(plugin); + } + + /** + * + * @param {PluginEvent} event + * @param {any} args + */ + function fire(event, args) { + const cb = event; + plugins.forEach(function(plugin) { + if (plugin[cb]) { + plugin[cb](args); + } + }); + } + + /** + * DEPRECATED + * @param {HighlightedHTMLElement} el + */ + function deprecateHighlightBlock(el) { + deprecated("10.7.0", "highlightBlock will be removed entirely in v12.0"); + deprecated("10.7.0", "Please use highlightElement now."); + + return highlightElement(el); + } + + /* Interface definition */ + Object.assign(hljs, { + highlight, + highlightAuto, + highlightAll, + highlightElement, + // TODO: Remove with v12 API + highlightBlock: deprecateHighlightBlock, + configure, + initHighlighting, + initHighlightingOnLoad, + registerLanguage, + unregisterLanguage, + listLanguages, + getLanguage, + registerAliases, + autoDetection, + inherit, + addPlugin + }); + + hljs.debugMode = function() { SAFE_MODE = false; }; + hljs.safeMode = function() { SAFE_MODE = true; }; + hljs.versionString = version; + + for (const key in MODES) { + // @ts-ignore + if (typeof MODES[key] === "object") { + // @ts-ignore + deepFreeze$1(MODES[key]); + } + } + + // merge all the modes/regexes into our main object + Object.assign(hljs, MODES); + + return hljs; + }; + + // export an "instance" of the highlighter + var HighlightJS = HLJS({}); + + /* + Language: Julia + Description: Julia is a high-level, high-performance, dynamic programming language. + Author: Kenta Sato + Contributors: Alex Arslan , Fredrik Ekre + Website: https://julialang.org + */ + + function julia(hljs) { + // Since there are numerous special names in Julia, it is too much trouble + // to maintain them by hand. Hence these names (i.e. keywords, literals and + // built-ins) are automatically generated from Julia 1.5.2 itself through + // the following scripts for each. + + // ref: https://docs.julialang.org/en/v1/manual/variables/#Allowed-Variable-Names + var VARIABLE_NAME_RE = '(?:[A-Za-z_\\u00A1-\\uFFFF][A-Za-z_0-9\\u00A1-\\uFFFF!]*)'; + + // # keyword generator, multi-word keywords handled manually below (Julia 1.5.2) + // import REPL.REPLCompletions + // res = String["in", "isa", "where"] + // for kw in collect(x.keyword for x in REPLCompletions.complete_keyword("")) + // if !(contains(kw, " ") || kw == "struct") + // push!(res, kw) + // end + // end + // sort!(unique!(res)) + // foreach(x -> println("\'", x, "\',"), res) + var KEYWORD_LIST = [ + 'baremodule', + 'begin', + 'break', + 'catch', + 'ccall', + 'const', + 'continue', + 'do', + 'else', + 'elseif', + 'end', + 'export', + 'false', + 'finally', + 'for', + 'function', + 'global', + 'if', + 'import', + 'in', + 'isa', + 'let', + 'local', + 'macro', + 'module', + 'quote', + 'return', + 'true', + 'try', + 'using', + 'where', + 'while', + ]; + + // # literal generator (Julia 1.5.2) + // import REPL.REPLCompletions + // res = String["true", "false"] + // for compl in filter!(x -> isa(x, REPLCompletions.ModuleCompletion) && (x.parent === Base || x.parent === Core), + // REPLCompletions.completions("", 0)[1]) + // try + // v = eval(Symbol(compl.mod)) + // if !(v isa Function || v isa Type || v isa TypeVar || v isa Module || v isa Colon) + // push!(res, compl.mod) + // end + // catch e + // end + // end + // sort!(unique!(res)) + // foreach(x -> println("\'", x, "\',"), res) + var LITERAL_LIST = [ + 'ARGS', + 'C_NULL', + 'DEPOT_PATH', + 'ENDIAN_BOM', + 'ENV', + 'Inf', + 'Inf16', + 'Inf32', + 'Inf64', + 'InsertionSort', + 'LOAD_PATH', + 'MergeSort', + 'NaN', + 'NaN16', + 'NaN32', + 'NaN64', + 'PROGRAM_FILE', + 'QuickSort', + 'RoundDown', + 'RoundFromZero', + 'RoundNearest', + 'RoundNearestTiesAway', + 'RoundNearestTiesUp', + 'RoundToZero', + 'RoundUp', + 'VERSION|0', + 'devnull', + 'false', + 'im', + 'missing', + 'nothing', + 'pi', + 'stderr', + 'stdin', + 'stdout', + 'true', + 'undef', + 'π', + 'ℯ', + ]; + + // # built_in generator (Julia 1.5.2) + // import REPL.REPLCompletions + // res = String[] + // for compl in filter!(x -> isa(x, REPLCompletions.ModuleCompletion) && (x.parent === Base || x.parent === Core), + // REPLCompletions.completions("", 0)[1]) + // try + // v = eval(Symbol(compl.mod)) + // if (v isa Type || v isa TypeVar) && (compl.mod != "=>") + // push!(res, compl.mod) + // end + // catch e + // end + // end + // sort!(unique!(res)) + // foreach(x -> println("\'", x, "\',"), res) + var BUILT_IN_LIST = [ + 'AbstractArray', + 'AbstractChannel', + 'AbstractChar', + 'AbstractDict', + 'AbstractDisplay', + 'AbstractFloat', + 'AbstractIrrational', + 'AbstractMatrix', + 'AbstractRange', + 'AbstractSet', + 'AbstractString', + 'AbstractUnitRange', + 'AbstractVecOrMat', + 'AbstractVector', + 'Any', + 'ArgumentError', + 'Array', + 'AssertionError', + 'BigFloat', + 'BigInt', + 'BitArray', + 'BitMatrix', + 'BitSet', + 'BitVector', + 'Bool', + 'BoundsError', + 'CapturedException', + 'CartesianIndex', + 'CartesianIndices', + 'Cchar', + 'Cdouble', + 'Cfloat', + 'Channel', + 'Char', + 'Cint', + 'Cintmax_t', + 'Clong', + 'Clonglong', + 'Cmd', + 'Colon', + 'Complex', + 'ComplexF16', + 'ComplexF32', + 'ComplexF64', + 'CompositeException', + 'Condition', + 'Cptrdiff_t', + 'Cshort', + 'Csize_t', + 'Cssize_t', + 'Cstring', + 'Cuchar', + 'Cuint', + 'Cuintmax_t', + 'Culong', + 'Culonglong', + 'Cushort', + 'Cvoid', + 'Cwchar_t', + 'Cwstring', + 'DataType', + 'DenseArray', + 'DenseMatrix', + 'DenseVecOrMat', + 'DenseVector', + 'Dict', + 'DimensionMismatch', + 'Dims', + 'DivideError', + 'DomainError', + 'EOFError', + 'Enum', + 'ErrorException', + 'Exception', + 'ExponentialBackOff', + 'Expr', + 'Float16', + 'Float32', + 'Float64', + 'Function', + 'GlobalRef', + 'HTML', + 'IO', + 'IOBuffer', + 'IOContext', + 'IOStream', + 'IdDict', + 'IndexCartesian', + 'IndexLinear', + 'IndexStyle', + 'InexactError', + 'InitError', + 'Int', + 'Int128', + 'Int16', + 'Int32', + 'Int64', + 'Int8', + 'Integer', + 'InterruptException', + 'InvalidStateException', + 'Irrational', + 'KeyError', + 'LinRange', + 'LineNumberNode', + 'LinearIndices', + 'LoadError', + 'MIME', + 'Matrix', + 'Method', + 'MethodError', + 'Missing', + 'MissingException', + 'Module', + 'NTuple', + 'NamedTuple', + 'Nothing', + 'Number', + 'OrdinalRange', + 'OutOfMemoryError', + 'OverflowError', + 'Pair', + 'PartialQuickSort', + 'PermutedDimsArray', + 'Pipe', + 'ProcessFailedException', + 'Ptr', + 'QuoteNode', + 'Rational', + 'RawFD', + 'ReadOnlyMemoryError', + 'Real', + 'ReentrantLock', + 'Ref', + 'Regex', + 'RegexMatch', + 'RoundingMode', + 'SegmentationFault', + 'Set', + 'Signed', + 'Some', + 'StackOverflowError', + 'StepRange', + 'StepRangeLen', + 'StridedArray', + 'StridedMatrix', + 'StridedVecOrMat', + 'StridedVector', + 'String', + 'StringIndexError', + 'SubArray', + 'SubString', + 'SubstitutionString', + 'Symbol', + 'SystemError', + 'Task', + 'TaskFailedException', + 'Text', + 'TextDisplay', + 'Timer', + 'Tuple', + 'Type', + 'TypeError', + 'TypeVar', + 'UInt', + 'UInt128', + 'UInt16', + 'UInt32', + 'UInt64', + 'UInt8', + 'UndefInitializer', + 'UndefKeywordError', + 'UndefRefError', + 'UndefVarError', + 'Union', + 'UnionAll', + 'UnitRange', + 'Unsigned', + 'Val', + 'Vararg', + 'VecElement', + 'VecOrMat', + 'Vector', + 'VersionNumber', + 'WeakKeyDict', + 'WeakRef', + ]; + + var KEYWORDS = { + $pattern: VARIABLE_NAME_RE, + keyword: KEYWORD_LIST, + literal: LITERAL_LIST, + type: BUILT_IN_LIST, + }; + + // placeholder for recursive self-reference + var DEFAULT = { + keywords: KEYWORDS, illegal: /<\// + }; + + // ref: https://docs.julialang.org/en/v1/manual/integers-and-floating-point-numbers/ + var NUMBER = { + className: 'number', + // supported numeric literals: + // * binary literal (e.g. 0x10) + // * octal literal (e.g. 0o76543210) + // * hexadecimal literal (e.g. 0xfedcba876543210) + // * hexadecimal floating point literal (e.g. 0x1p0, 0x1.2p2) + // * decimal literal (e.g. 9876543210, 100_000_000) + // * floating point literal (e.g. 1.2, 1.2f, .2, 1., 1.2e10, 1.2e-10) + begin: /(\b0x[\d_]*(\.[\d_]*)?|0x\.\d[\d_]*)p[-+]?\d+|\b0[box][a-fA-F0-9][a-fA-F0-9_]*|(\b\d[\d_]*(\.[\d_]*)?|\.\d[\d_]*)([eEfF][-+]?\d+)?/, + relevance: 0 + }; + + // Assignment and control-flow operators && and || + var KEYWORDLIKE_OPERATORS = { + className: 'keyword', + begin: '&&|\\|\\||=', + }; + + var BUILTIN_OPERATORS = { + className: 'built_in', + variants: [ + // Multi-character operators + {begin: '::|<:|>:|[=!]?==|[<>!]=|//|=>|\\/\\/|<<|>>>|>>|->'}, + // Unicode operators (https://github.com/JuliaLang/julia/blob/master/src/julia-parser.scm) + {begin: /[≤≥¬←→↔↚↛↠↣↦↮⇎⇏⇒⇔⇴⇶⇷⇸⇹⇺⇻⇼⇽⇾⇿⟵⟶⟷⟷⟹⟺⟻⟼⟽⟾⟿⤀⤁⤂⤃⤄⤅⤆⤇⤌⤍⤎⤏⤐⤑⤔⤕⤖⤗⤘⤝⤞⤟⤠⥄⥅⥆⥇⥈⥊⥋⥎⥐⥒⥓⥖⥗⥚⥛⥞⥟⥢⥤⥦⥧⥨⥩⥪⥫⥬⥭⥰⧴⬱⬰⬲⬳⬴⬵⬶⬷⬸⬹⬺⬻⬼⬽⬾⬿⭀⭁⭂⭃⭄⭇⭈⭉⭊⭋⭌￩￫≡≠≢∈∉∋∌⊆⊈⊂⊄⊊∝∊∍∥∦∷∺∻∽∾≁≃≄≅≆≇≈≉≊≋≌≍≎≐≑≒≓≔≕≖≗≘≙≚≛≜≝≞≟≣≦≧≨≩≪≫≬≭≮≯≰≱≲≳≴≵≶≷≸≹≺≻≼≽≾≿⊀⊁⊃⊅⊇⊉⊋⊏⊐⊑⊒⊜⊩⊬⊮⊰⊱⊲⊳⊴⊵⊶⊷⋍⋐⋑⋕⋖⋗⋘⋙⋚⋛⋜⋝⋞⋟⋠⋡⋢⋣⋤⋥⋦⋧⋨⋩⋪⋫⋬⋭⋲⋳⋴⋵⋶⋷⋸⋹⋺⋻⋼⋽⋾⋿⟈⟉⟒⦷⧀⧁⧡⧣⧤⧥⩦⩧⩪⩫⩬⩭⩮⩯⩰⩱⩲⩳⩴⩵⩶⩷⩸⩹⩺⩻⩼⩽⩾⩿⪀⪁⪂⪃⪄⪅⪆⪇⪈⪉⪊⪋⪌⪍⪎⪏⪐⪑⪒⪓⪔⪕⪖⪗⪘⪙⪚⪛⪜⪝⪞⪟⪠⪡⪢⪣⪤⪥⪦⪧⪨⪩⪪⪫⪬⪭⪮⪯⪰⪱⪲⪳⪴⪵⪶⪷⪸⪹⪺⪻⪼⪽⪾⪿⫀⫁⫂⫃⫄⫅⫆⫇⫈⫉⫊⫋⫌⫍⫎⫏⫐⫑⫒⫓⫔⫕⫖⫗⫘⫙⫷⫸⫹⫺⊢⊣⊕⊖⊞⊟∪∨⊔±∓∔∸≂≏⊎⊻⊽⋎⋓⧺⧻⨈⨢⨣⨤⨥⨦⨧⨨⨩⨪⨫⨬⨭⨮⨹⨺⩁⩂⩅⩊⩌⩏⩐⩒⩔⩖⩗⩛⩝⩡⩢⩣÷⋅∘×∩∧⊗⊘⊙⊚⊛⊠⊡⊓∗∙∤⅋≀⊼⋄⋆⋇⋉⋊⋋⋌⋏⋒⟑⦸⦼⦾⦿⧶⧷⨇⨰⨱⨲⨳⨴⨵⨶⨷⨸⨻⨼⨽⩀⩃⩄⩋⩍⩎⩑⩓⩕⩘⩚⩜⩞⩟⩠⫛⊍▷⨝⟕⟖⟗↑↓⇵⟰⟱⤈⤉⤊⤋⤒⤓⥉⥌⥍⥏⥑⥔⥕⥘⥙⥜⥝⥠⥡⥣⥥⥮⥯￪￬]/}, + // ASCII operators + {begin: /[-+*/\\^:<>~?$%.]/}, + // | and & (unless they are really || and && in disguise) + {begin: '&(?!&)|\\|(?!\\|)'}, + // ! is an operator unless it is used in a variable + {begin: '(?:Q.T + {begin: '(?<=[<>:]:\\s?' + VARIABLE_NAME_RE + '\\.)' + VARIABLE_NAME_RE}, + // Match T in e.g. ::T, S<:T, S>:T + {begin: '(?<=[<>:]:\\s?)' + VARIABLE_NAME_RE}, + // Match S in e.g. S.Q<:T, S.Q>:T + {begin: VARIABLE_NAME_RE + '(?=\\.' + VARIABLE_NAME_RE + '\\s?[<>]:)'}, + // Match S in e.g. S<:T, S>:T + {begin: VARIABLE_NAME_RE + '(?=\\s?[<>]:)'}, + ], + contains: [ + BUILTIN_OPERATORS, + KEYWORDLIKE_OPERATORS, + 'self', + ] + }; + + // Match where ... constructs + var WHERE_CLAUSE = { + className: '', + variants: [ + // Match where {...} + {begin: '(?<=where\\s+){' + '', end: '}', excludeBegin:true, excludeEnd:true}, + // Match where T + {className: 'type', begin: '(?<=where\\s+)' + VARIABLE_NAME_RE}, + ], + contains: [ + TYPE_CONTEXT, + BUILTIN_OPERATORS, + KEYWORDLIKE_OPERATORS, + // Match single identifier, e.g. where {T} + {begin: VARIABLE_NAME_RE, className:'type'} + ] + }; + + var CHAR = { + className: 'string', + variants: [ + {begin: /'(.|\\[xXuU][a-zA-Z0-9]+)'/}, + {begin: /'\\[rn\\$]'/}, + ] + }; + + var INTERPOLATION = { + className: 'subst', + begin: /\$\(/, end: /\)/, + keywords: KEYWORDS + }; + + var INTERPOLATED_VARIABLE = { + className: 'variable', + begin: '\\$' + VARIABLE_NAME_RE + }; + + // Literal String, Regex and Cmd strings + // TODO: neatly escape normal code in string literal + // TODO: mark docstrings as doctag + var STRING_REGEX_CMD = { + className: 'string', + contains: [hljs.BACKSLASH_ESCAPE, INTERPOLATION, INTERPOLATED_VARIABLE], + variants: [ + { begin: /r"""/, end: /"""\w*/, relevance: 10, className: 'regexp', contains: [hljs.BACKSLASH_ESCAPE] }, + { begin: /\w*"""/, end: /"""\w*/, relevance: 10 }, + { begin: '```', end: '```' }, + { begin: /r"/, end: /"\w*/, className: 'regexp', contains: [hljs.BACKSLASH_ESCAPE] }, + { begin: /\w*"/, end: /"\w*/ }, + { begin: '`', end: '`'}, + ] + }; + + // Conservative matching of symbol as identifier after :, unless there is a + // valid identifier/number just before; e.g. a:b, 1:b is not a symbol + var SYMBOL = { + className: 'symbol', + begin: '(?]+)\\s*)(:' + VARIABLE_NAME_RE + ')', + }; + + var MACROCALL = { + className: 'meta', + begin: '@' + VARIABLE_NAME_RE + }; + + // Useful group of "atoms" used later + var ATOMS = [ + NUMBER, + CHAR, + STRING_REGEX_CMD, + SYMBOL, + MACROCALL + ]; + + var COMMENT = { + className: 'comment', + variants: [ + { begin: '#=', end: '=#', relevance: 10 }, + { begin: '#', end: '$' } + ] + }; + + + var FUNCTION_CALL = { + className: '', + // Match fun(... and fun.(... + begin: '(\\b' + VARIABLE_NAME_RE + '({.*?}|\\.)?\\()', + end: '\\)', + returnBegin:true, + keywords: KEYWORDS, + contains: [ + // Cheating a bit -- not all functions are builtins, but who cares in julia! + {begin:'\\b(ccall|new({.*?})?)(?=\\()', className: 'keyword'}, // Non-standard functions + {begin:'\\b' + VARIABLE_NAME_RE + '({.*?})?(?=\\.?\\()', className: 'built_in'}, + ...ATOMS, + 'self', + TYPE_CONTEXT, + BUILTIN_OPERATORS, + KEYWORDLIKE_OPERATORS, + COMMENT, + ] + }; + + var FUNCTION_DEFINITION_PARAMETERS = { + begin: '(?<=' + VARIABLE_NAME_RE + '({.*?})?)\\(', + end: '\\)', + className: '', + keywords: KEYWORDS, + contains: [ + ...ATOMS, + TYPE_CONTEXT, + FUNCTION_CALL, + BUILTIN_OPERATORS, + KEYWORDLIKE_OPERATORS, + {begin: '(?]:\\s+' + VARIABLE_NAME_RE + '({.*})?)?))*', + returnBegin:true, + contains: [ + // Function keyword + {begin: '\\bfunction\\s', className: 'keyword'}, + // Skip over leading A.B. + {begin: '(' + VARIABLE_NAME_RE + ')(?=\\.)', end: '(?=' + VARIABLE_NAME_RE+'({.*?})?\\()', contains:[ + {begin: '\\.', className: 'built_in'} + ]}, + // Function name + {begin: VARIABLE_NAME_RE + '({.*?})?(?=\\()', className: 'title'}, + // Parameters + FUNCTION_DEFINITION_PARAMETERS, + // Possibly where-clauses + WHERE_CLAUSE, + ] + }; + + var SHORT_FUNCTION_DEFINITION = { + className: '', + begin: VARIABLE_NAME_RE + '\\(.*\\)(\\s+where.*?)?\\s*(?==(?!=))', + returnBegin:true, + contains: [ + {begin: VARIABLE_NAME_RE + '(?=\\()', className: 'title'}, + FUNCTION_DEFINITION_PARAMETERS, + WHERE_CLAUSE + ] + }; + + var TYPEDEF = { + className: 'class', + variants: [ + { begin: '(?<=primitive[ \\t]+type[ \\t]+)' + VARIABLE_NAME_RE }, + { begin: '(?<=abstract[ \\t]+type[ \\t]+)' + VARIABLE_NAME_RE + '({.*?})?' }, + { begin: '(?<=(mutable[ \\t]+)?struct[ \\t]+)' + VARIABLE_NAME_RE + '({.*?})?' }, + ] + }; + + DEFAULT.name = 'Julia'; + DEFAULT.contains = [ + ...ATOMS, + FUNCTION_DEFINITION, + SHORT_FUNCTION_DEFINITION, + FUNCTION_CALL, + TYPEDEF, + WHERE_CLAUSE, + TYPE_CONTEXT, + COMMENT, + hljs.HASH_COMMENT_MODE, + { + className: 'keyword', + begin: + '\\b(((abstract|primitive)[ \\t]+)type|(mutable[ \\t]+)?struct)\\b' + }, + BUILTIN_OPERATORS, + KEYWORDLIKE_OPERATORS, + {begin: /<:/} // relevance booster + ]; + INTERPOLATION.contains = DEFAULT.contains; + + return DEFAULT; + } + + /* + Language: Julia REPL + Description: Julia REPL sessions + Author: Morten Piibeleht + Website: https://julialang.org + Requires: julia.js + + The Julia REPL code blocks look something like the following: + + julia> function foo(x) + x + 1 + end + foo (generic function with 1 method) + + They start on a new line with "julia>". Usually there should also be a space after this, but + we also allow the code to start right after the > character. The code may run over multiple + lines, but the additional lines must start with six spaces (i.e. be indented to match + "julia>"). The rest of the code is assumed to be output from the executed code and will be + left un-highlighted. + + Using simply spaces to identify line continuations may get a false-positive if the output + also prints out six spaces, but such cases should be rare. + */ + + function juliaRepl(hljs) { + return { + name: 'Julia REPL', + contains: [ + { + className: 'meta', + begin: /^julia>/, + relevance: 10, + starts: { + // end the highlighting if we are on a new line and the line does not have at + // least six spaces in the beginning + end: /^(?![ ]{6})/, + subLanguage: 'julia' + }, + // jldoctest Markdown blocks are used in the Julia manual and package docs indicate + // code snippets that should be verified when the documentation is built. They can be + // either REPL-like or script-like, but are usually REPL-like and therefore we apply + // julia-repl highlighting to them. More information can be found in Documenter's + // manual: https://juliadocs.github.io/Documenter.jl/latest/man/doctests.html + aliases: ['jldoctest'] + } + ] + } + } + + var builtIns = /*#__PURE__*/Object.freeze({ + __proto__: null, + grmr_julia: julia, + grmr_julia_repl: juliaRepl + }); + + const hljs = HighlightJS; + + for (const key of Object.keys(builtIns)) { + const languageName = key.replace("grmr_", "").replace("_", "-"); + hljs.registerLanguage(languageName, builtIns[key]); + } + + return hljs; + +}()); +if (typeof exports === 'object' && typeof module !== 'undefined') { module.exports = hljs; } diff --git a/_libs/highlight/styles/a11y-dark.min.css b/_libs/highlight/styles/a11y-dark.min.css new file mode 100644 index 0000000..7820d7d --- /dev/null +++ b/_libs/highlight/styles/a11y-dark.min.css @@ -0,0 +1,7 @@ +pre code.hljs{display:block;overflow-x:auto;padding:1em}code.hljs{padding:3px 5px}/*! + Theme: a11y-dark + Author: @ericwbailey + Maintainer: @ericwbailey + + Based on 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e(e,t){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new Un(e,t,this.mode),this.settings=t,this.leftrightDepth=0}var t=e.prototype;return t.expect=function(e,t){if(void 0===t&&(t=!0),this.fetch().text!==e)throw new n("Expected '"+e+"', got '"+this.fetch().text+"'",this.fetch());t&&this.consume()},t.consume=function(){this.nextToken=null},t.fetch=function(){return null==this.nextToken&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken},t.switchMode=function(e){this.mode=e,this.gullet.switchMode(e)},t.parse=function(){this.settings.globalGroup||this.gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var e=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),e}finally{this.gullet.endGroups()}},t.subparse=function(e){var t=this.nextToken;this.consume(),this.gullet.pushToken(new 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character "'+t[0]+'" used in math mode',e):this.settings.reportNonstrict("unknownSymbol",'Unrecognized Unicode character "'+t[0]+'" ('+t.charCodeAt(0)+")",e)),i={type:"textord",mode:"text",loc:Lr.range(e),text:t}}if(this.consume(),o)for(var c=0;c`, + * or to a parent if there are multiple elements to show. + */ + +.message { + color: $message-color; + background-color: $message-background-color; + margin-bottom: 1rem; + padding: 1rem; +} diff --git a/_sass/components/_navigation.scss b/_sass/components/_navigation.scss new file mode 100644 index 0000000..43d619a --- /dev/null +++ b/_sass/components/_navigation.scss @@ -0,0 +1,44 @@ +/** + * _navigation.scss + * Styles for the main navigation bar on top of the page. + */ + +.nav-main { + font-size: $font-size; // override mobile media query + text-align: center; + margin-bottom: 4rem; + + @media (max-width: 38em) { + margin-bottom: 2rem; + } + + ul { + padding: 0; + border-bottom-color: $nav-bottom-border-color; + border-bottom-width: $nav-bottom-border-width; + border-bottom-style: solid; + } + + li { + display: inline-block; + + a { + color: $nav-link-color; + display: block; + text-decoration: none; + padding: $nav-link-padding-y $nav-link-padding-x; + } + } + + li.logo a { + color: $nav-icon-color; + background: $nav-icon-background-color; + font-weight: bold; + width: 1.6em; + height: 1.6em; + border-radius: 50px; + line-height: 1.6em; + margin: 0 1rem; + padding: 0; + } +} diff --git a/_sass/components/_pagination.scss b/_sass/components/_pagination.scss new file mode 100644 index 0000000..e5bcb17 --- /dev/null +++ b/_sass/components/_pagination.scss @@ -0,0 +1,56 @@ +// Pagination +// +// Super lightweight (HTML-wise) blog pagination. `span`s are provided for when +// there are no more previous or next posts to show. + +.pagination { + font-family: $font-stack; + overflow: hidden; // clearfix + margin: 3rem 0; + + color: #ccc; + text-align: center; + + .pagination-text, .fa { + vertical-align: middle; + } +} + +.pagination-item { + &:first-child { + float: left; + } + &:last-child { + float: right; + } +} + +a.pagination-item { + &:focus, + &:hover { + text-decoration: none; + background-color: #f5f5f5; + } +} + +@media (max-width: 30em) { + .pagination { + margin: 0 -1.5rem 1rem; + + .fa { + font-size: 2rem; + } + } + + .pagination-item { + padding: 0 1rem; + + &:first-child, &:last-child { + float: none; + } + } + + .pagination-text { + display: none; + } +} diff --git a/_sass/pages/_landing.scss b/_sass/pages/_landing.scss new file mode 100644 index 0000000..42b6551 --- /dev/null +++ b/_sass/pages/_landing.scss @@ -0,0 +1,11 @@ +/** + * _landing.scss + * Styles for the landing page + */ + +.landing-title { + color: $post-title-color; + text-align: center; + border-bottom: 1px solid #c0c0c0; + padding-bottom: 0.7rem; +} diff --git a/_sass/pages/_posts.scss b/_sass/pages/_posts.scss new file mode 100644 index 0000000..ada9d96 --- /dev/null +++ b/_sass/pages/_posts.scss @@ -0,0 +1,29 @@ +/** + * _posts.scss + * Each post is wrapped in `.post` and is used on default and post layouts. Each + * page is wrapped in `.page` and is only used on the page layout. + */ + +.page, +.post { + margin-bottom: 4em; +} + +// Blog post or page title +.page-title, +.post-title, +.post-title a { + color: $post-title-color; +} +.page-title, +.post-title { + margin-top: 0; +} + +// Meta data line below post title +.post-date { + display: block; + margin-top: -.5rem; + margin-bottom: 1rem; + color: $post-date-color; +} diff --git a/_sass/style.scss b/_sass/style.scss new file mode 100644 index 0000000..2e28bbb --- /dev/null +++ b/_sass/style.scss @@ -0,0 +1,27 @@ +// Variables +@import "utilities/variables"; + +// Utility styles +@import "utilities/mixins"; +@import "utilities/utils"; +@import "utilities/syntax-highlighting"; +@import "utilities/animations"; + +// Core +@import "base/normalize"; +@import "base/global"; +@import "base/layout"; +@import "base/typography"; + +// Components +@import "components/navigation"; +@import "components/pagination"; +@import "components/code"; +@import "components/message"; + +// Pages +@import "pages/landing"; +@import "pages/posts"; + +// Adjustments for Franklin.jl +@import "adjust"; \ No newline at end of file diff --git a/_sass/utilities/_animations.scss b/_sass/utilities/_animations.scss new file mode 100644 index 0000000..f43374c --- /dev/null +++ b/_sass/utilities/_animations.scss @@ -0,0 +1,70 @@ +/** + * _animations.scss + * Animation styles used by different components + */ + +/* Underline Reveal (from hover.css) */ +.hvr-underline-reveal { + @include hacks(); + + position: relative; + overflow: hidden; + + &:before { + content: ""; + position: absolute; + z-index: -1; + left: 0; + right: 0; + bottom: 0; + background: $nav-link-underline-color; + height: 2px; + + @include prefix(transform, translateY(4px)); + @include prefix(transition-property, transform); + @include prefix(transition-duration, 0.2s); + @include prefix(transition-timing-function, ease-out); + } + + &:hover:before, + &:focus:before, + &:active:before { + @include prefix(transform, translateY(0)); + } +} + +/* Ripple Out (from hover.css) */ +@include keyframes(hvr-ripple-out) { + 100% { + top: -(6px + 6px); + right: -(6px + 6px); + bottom: -(6px + 6px); + left: -(6px + 6px); + opacity: 0; + } +} + +.hvr-ripple-out { + @include hacks(); + + position: relative; + + &:before { + content: ''; + position: absolute; + border: $nav-icon-background-color solid 4px; + border-radius: 50px; + top: 0; + right: 0; + bottom: 0; + left: 0; + + @include prefix(animation-duration, 0.5s); + } + + &:hover:before, + &:focus:before, + &:active:before { + @include prefix(animation-name, hvr-ripple-out); + } +} diff --git a/_sass/utilities/_mixins.scss b/_sass/utilities/_mixins.scss new file mode 100644 index 0000000..9313bae --- /dev/null +++ b/_sass/utilities/_mixins.scss @@ -0,0 +1,30 @@ +/** + * _mixins.scss + * Mixins used for convenience in typing styles + */ + +@mixin prefix($property, $value) { + -webkit-#{$property}: #{$value}; + #{$property}: #{$value}; +} + +@mixin keyframes($name) { + @-webkit-keyframes #{$name} { @content; } + @keyframes #{$name} { @content; } +} + +@mixin hacks() { + // Transforms need to be block-level to work + display: inline-block; + vertical-align: middle; + + // Improve aliasing on mobile/tablet devices + box-shadow: 0 0 1px rgba(0, 0, 0, 0); + + // Improve performance on mobile/tablet devices + @include prefix(transform, translateZ(0)); + + -webkit-backface-visibility: hidden; + backface-visibility: hidden; + -moz-osx-font-smoothing: grayscale; +} diff --git a/_sass/utilities/_syntax-highlighting.scss b/_sass/utilities/_syntax-highlighting.scss new file mode 100644 index 0000000..dd37015 --- /dev/null +++ b/_sass/utilities/_syntax-highlighting.scss @@ -0,0 +1,70 @@ +/** + * _syntax-highlighting.scss + * Styles for syntax highlighting using Jekyll's configured highlighter. + */ + +.highlight .hll { background-color: #ffc; } +.highlight .c { color: #999; } /* Comment */ +.highlight .err { color: #a00; background-color: #faa } /* Error */ +.highlight .k { color: #069; } /* Keyword */ +.highlight .o { color: #555 } /* Operator */ +.highlight .cm { color: #09f; font-style: italic } /* Comment.Multiline */ +.highlight .cp { color: #099 } /* Comment.Preproc */ +.highlight .c1 { color: #999; } /* Comment.Single */ +.highlight .cs { color: #999; } /* Comment.Special */ +.highlight .gd { background-color: #fcc; border: 1px solid #c00 } /* Generic.Deleted */ +.highlight .ge { font-style: italic } /* Generic.Emph */ +.highlight .gr { color: #f00 } /* Generic.Error */ +.highlight .gh { color: #030; } /* Generic.Heading */ +.highlight .gi { background-color: #cfc; border: 1px solid #0c0 } /* Generic.Inserted */ +.highlight .go { color: #aaa } /* Generic.Output */ +.highlight .gp { color: #009; } /* Generic.Prompt */ +.highlight .gs { } /* Generic.Strong */ +.highlight .gu { color: #030; } /* Generic.Subheading */ +.highlight .gt { color: #9c6 } /* Generic.Traceback */ +.highlight .kc { color: #069; } /* Keyword.Constant */ +.highlight .kd { color: #069; } /* Keyword.Declaration */ +.highlight .kn { color: #069; } /* Keyword.Namespace */ +.highlight .kp { color: #069 } /* Keyword.Pseudo */ +.highlight .kr { color: #069; } /* Keyword.Reserved */ +.highlight .kt { color: #078; } /* Keyword.Type */ +.highlight .m { color: #f60 } /* Literal.Number */ +.highlight .s { color: #d44950 } /* Literal.String */ +.highlight .na { color: #4f9fcf } /* Name.Attribute */ +.highlight .nb { color: #366 } /* Name.Builtin */ +.highlight .nc { color: #0a8; } /* Name.Class */ +.highlight .no { color: #360 } /* Name.Constant */ +.highlight .nd { color: #99f } /* Name.Decorator */ +.highlight .ni { color: #999; } /* Name.Entity */ +.highlight .ne { color: #c00; } /* Name.Exception */ +.highlight .nf { color: #c0f } /* Name.Function */ +.highlight .nl { color: #99f } /* Name.Label */ +.highlight .nn { color: #0cf; } /* Name.Namespace */ +.highlight .nt { color: #2f6f9f; } /* Name.Tag */ +.highlight .nv { color: #033 } /* Name.Variable */ +.highlight .ow { color: #000; } /* Operator.Word */ +.highlight .w { color: #bbb } /* Text.Whitespace */ +.highlight .mf { color: #f60 } /* Literal.Number.Float */ +.highlight .mh { color: #f60 } /* Literal.Number.Hex */ +.highlight .mi { color: #f60 } /* Literal.Number.Integer */ +.highlight .mo { color: #f60 } /* Literal.Number.Oct */ +.highlight .sb { color: #c30 } /* Literal.String.Backtick */ +.highlight .sc { color: #c30 } /* Literal.String.Char */ +.highlight .sd { color: #c30; font-style: italic } /* Literal.String.Doc */ +.highlight .s2 { color: #c30 } /* Literal.String.Double */ +.highlight .se { color: #c30; } /* Literal.String.Escape */ +.highlight .sh { color: #c30 } /* Literal.String.Heredoc */ +.highlight .si { color: #a00 } /* Literal.String.Interpol */ +.highlight .sx { color: #c30 } /* Literal.String.Other */ +.highlight .sr { color: #3aa } /* Literal.String.Regex */ +.highlight .s1 { color: #c30 } /* Literal.String.Single */ +.highlight .ss { color: #fc3 } /* Literal.String.Symbol */ +.highlight .bp { color: #366 } /* Name.Builtin.Pseudo */ +.highlight .vc { color: #033 } /* Name.Variable.Class */ +.highlight .vg { color: #033 } /* Name.Variable.Global */ +.highlight .vi { color: #033 } /* Name.Variable.Instance */ +.highlight .il { color: #f60 } /* Literal.Number.Integer.Long */ + +.css .o, +.css .o + .nt, +.css .nt + .nt { color: #999; } diff --git a/_sass/utilities/_utils.scss b/_sass/utilities/_utils.scss new file mode 100644 index 0000000..91d533e --- /dev/null +++ b/_sass/utilities/_utils.scss @@ -0,0 +1,9 @@ +/** + * _utils.scss + * Utility classes for applying common styles to elements. + */ + + .text-center { + text-align: center; + } + \ No newline at end of file diff --git a/_sass/utilities/_variables.scss b/_sass/utilities/_variables.scss new file mode 100644 index 0000000..1d6e36f --- /dev/null +++ b/_sass/utilities/_variables.scss @@ -0,0 +1,40 @@ +/** + * _variables.scss + * Contains SCSS variables used in this website's stylesheet. + */ + +// Globals +$font-stack: 'Source Sans Pro', sans-serif; +$font-size: 17px; +$font-size-mobile: 15px; + +$code-font-stack: 'Source Code Pro', monospace; + +// Body +$body-text-color: #515151; +$body-background-color: #ffffff; +$body-top-border-color: #0A3b76; +$body-top-border-width: 5px; + +// Links +$link-color: #5a81b0; + +// Navigation +$nav-bottom-border-color: #c0c0c0; +$nav-bottom-border-width: 1px; + +$nav-link-color: #263663; +$nav-link-padding-y: 0.7rem; +$nav-link-padding-x: 1.5rem; +$nav-link-underline-color: #2098d1; + +$nav-icon-color: #ffffff; +$nav-icon-background-color: #0A3b76; + +// Blog post headings and page titles +$post-title-color: #0A3b76; +$post-date-color: #9a9a9a; + +// Message box +$message-color: #717171; +$message-background-color: #f9f9f9; diff --git a/config.md b/config.md new file mode 100644 index 0000000..265b441 --- /dev/null +++ b/config.md @@ -0,0 +1,15 @@ + ++++ +author = "BioJulia Developers" +mintoclevel = 2 +base_url_prefix = "BioTutorials" + +ignore = ["node_modules/", "CLAUDE.md"] + +generate_rss = false +website_title = "BioJulia Tutorials" +website_descr = "Doing biology with Julia and the BioJulia ecosystem" +website_url = "https://biojulia.dev/BioTutorials" ++++ diff --git a/docs/.gitignore b/docs/.gitignore deleted file mode 100644 index f4ef123..0000000 --- a/docs/.gitignore +++ /dev/null @@ -1,5 +0,0 @@ -build/ -site/ -Manifest.toml -node_modules/ -package-lock.json diff --git a/docs/Project.toml b/docs/Project.toml deleted file mode 100644 index b1c5a68..0000000 --- a/docs/Project.toml +++ /dev/null @@ -1,16 +0,0 @@ -[deps] -BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf" -BioSequences = "7e6ae17a-c86d-528c-b3b9-7f778a29fe59" -BioSymbols = "3c28c6f8-a34d-59c4-9654-267d177fcfa9" -Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4" -DocumenterTools = "35a29f4d-8980-5a13-9543-d66fff28ecb8" -DocumenterVitepress = "4710194d-e776-4893-9690-8d956a29c365" -FASTX = "c2308a5c-f048-11e8-3e8a-31650f418d12" -FormatSpecimens = "3372ea36-2a1a-11e9-3eb7-996970b6ffbd" -JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899" -LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589" -XAM = "d759349c-bcba-11e9-07c2-5b90f8f05f7c" - -[compat] -DocumenterVitepress = "=0.2.7" - diff --git a/docs/make.jl b/docs/make.jl deleted file mode 100644 index f469dbf..0000000 --- a/docs/make.jl +++ /dev/null @@ -1,36 +0,0 @@ -using Documenter -using DocumenterVitepress - -ROSALIND_PAGES = [ - "rosalind/index.md", - "rosalind/01-dna.md", - "rosalind/02-rna.md", - "rosalind/03-revc.md", - "rosalind/04-fib.md", - "rosalind/05-gc.md", - ] - -makedocs( - sitename = "BioTutorials", - authors = "Kevin Bonham and Contributors", - modules = Module[], - clean = false, - doctest = true, - draft = false, - format = DocumenterVitepress.MarkdownVitepress( - repo = "https://github.com/BioJulia/BioTutorials", - # md_output_path = ".", # remove when pushing - build_vitepress = haskey(ENV, "CI") - ), - pages = [ - "Rosalind.info" => ROSALIND_PAGES - ] -) - -deploydocs( - repo = "https://github.com/BioJulia/BioTutorials.git", - target = "build", - devbranch = "main", - branch = "gh-pages", - push_preview = true, -) diff --git a/docs/package.json b/docs/package.json deleted file mode 100644 index d45cf53..0000000 --- a/docs/package.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "scripts": { - "docs:dev": "vitepress dev build/.documenter", - "docs:build": "vitepress build build/.documenter", - "docs:preview": "vitepress preview build/.documenter" - }, - "dependencies": { - "@nolebase/vitepress-plugin-enhanced-readabilities": "^2.12.1", - "@shikijs/transformers": "^2.0.3", - "markdown-it": "^14.1.0", - "markdown-it-footnote": "^4.0.0", - "markdown-it-mathjax3": "^4.3.2", - "vitepress": "^1.6.3", - "vitepress-plugin-tabs": "^0.5.0" - } -} diff --git a/docs/src/index.md b/docs/src/index.md deleted file mode 100644 index c9e1bbb..0000000 --- a/docs/src/index.md +++ /dev/null @@ -1,39 +0,0 @@ -```@raw html ---- -# https://vitepress.dev/reference/default-theme-home-page -# Cribbed from DimensionalData.jl -layout: home - -hero: - name: "BioJulia" - text: "Tutorials" - tagline: "Doing biology with Julia" - actions: - - theme: brand - text: Basic Tutorals - link: /rosalind/index - - theme: alt - text: BioJulia documentation - link: https://github.com/BioJulia/BioJuliaDocs - - theme: alt - text: Source code on github - link: https://github.com/BioJulia/BioTutorials -features: - - title: Rosalind.info Problems - details: These are still a work in progress - link: https://biojulia.dev/BioTutorials - - title: BioSequences.jl - details: Optimized types for working with biological sequences (eg DNA, RNA, proteins) - link: https://biojulia.dev/BioSequences.jl - - title: Automa.jl - details: Efficient state-machine generation to quickly and correctly parse bespoke file formats - link: https://biojulia.dev/Automa.jl - - title: BioMakie.jl - details: Visualize sequences and 3D proteins with ease - link: https://biojulia.dev/BioMakie.jl - icon: - - title: SingleCellProjections.jl - details: More cells? No Problem! Get UMAPs and other projections of your singlg cell data using the power of Sparse Matrices - link: https://biojulia.dev/SingleCellProjections.jl ---- -``` diff --git a/docs/src/rosalind/01-dna.md b/docs/src/rosalind/01-dna.md deleted file mode 100644 index b47ac5a..0000000 --- a/docs/src/rosalind/01-dna.md +++ /dev/null @@ -1,292 +0,0 @@ - -# 🧬 Problem 1: Counting DNA nucleotides - -🤔 [Problem link](https://rosalind.info/problems/dna/) - -!!! note - For each of these problems, you are strongly encouraged - to read through the problem descriptions, - especially if you're somewhat new to molecular biology. - We will mostly not repeat the background concepts in these notebooks, - except where they are relevant to the solutions. - -!!! warning "The Problem" - - A string is simply an ordered collection of symbols selected from some - alphabet and formed into a word; the length of a string is the number of symbols that it contains. - - An example of a length 21 DNA string (whose alphabet contains the symbols 'A', 'C', 'G', and 'T') is "ATGCTTCAGAAAGGTCTTACG." - - **Given**: A DNA string `s` - of length at most 1000 nt. - - **Return**: Four integers (separated by spaces) counting the respective number - of times that the symbols 'A', 'C', 'G', and 'T' occur in `s` - . - - **Sample Dataset** - - ``` - AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC - ``` - - **Sample Output** - - ``` - 20 12 17 21 - ``` - -Let's see how it's done! - -### DNA sequences are `String`s of `Char`s - -In julia, single characters and strings, -which are made up of multiple characters, have different types. -`Char` and `String` respectively. - -They are also written differently - single quotes for a `Char`, -and double quotes for a `String'. - - -```@example dna -chr = 'a' -str = "A" -typeof(chr) -``` - -```@example dna -typeof(str) -``` - -In many ways, a `String` can be thought of as a vector of `Char`s, -and many julia functions that operate on collections like `Vector`s -will work on `String`s. -We can also loop over the contents of a string, -which will treat each `Char` separately. - - -```@example dna -for c in "banana" - @info c -end -``` - - - -### Approach 1: counting in loops - -One relatively straightforward way to approach this problem -is to set a variable to `0` for each base, -then loop through the sequence, adding `1` to the appropriate -variable at each character. - -I'll also stick this into a function, -so we can easily reuse the code. - -```@example dna -function countbases(seq) # here `seq` is an "argument" for the function - a = 0 - c = 0 - g = 0 - t = 0 - for base in seq - if base == 'A' - a += 1 # this is equivalent to `a = a + 1` - elseif base == 'C' - c += 1 - elseif base == 'G' - g += 1 - elseif base == 'T' - t += 1 - else - # it is often a good idea to try to handle possible mistakes explicitly - error("Base $base is not supported") - end - end - return (a, c, g, t) -end - -countbases("AAA") -``` - -Now let's see if it works on the example dataset. -Remember, we should be getting the answer `20 12 17 21` - -```@example dna -answer = "20 12 17 21" -input_dna = "AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC" -countbases(input_dna) -``` - -Well, the formatting is just a bit different - -The julia type is a `Tuple`, which is surrounded by parentheses. -To fix this, we can use the `join` function. - -```@example dna -@assert join(countbases(input_dna), " ") == answer -``` - - -### Approach 2: using `count()` - -Another approach is to use the built-in `count()` function, -which takes a "predicate" function as the first argument -and an iterable collection as the second argument. -The predicate function must take each element of the collection, -and return either `true` or `false`. -The `count()` function then returns the number of elements -that returned `true`. - -For example, if I define the `lessthan5()` function -to return `true` if a value is less than 5, -I can then use it as a predicate to count the number of values -in a `Vector` of numbers that are less than 5. - - -```@example dna -function lessthan5(num) - return num < 5 -end - -count(lessthan5, [1, 5, 6, -3, 3]) -``` - -Often, we don't want to have to define a simple function like `lessthan5()` -for every predicate we want to test, especially if they will only be used once. -Instead, we can use an "anonymous" function (also sometimes called "lambdas") -as the first argument. - -In julia, anonymous functions have the syntax `arg -> func. body`. -In other words, the same expression above could be written as: - - -```@example dna -count(num -> num < 5, [1, 5, 6, -3, 3]) -``` - -Here, `num -> num < 5` is identical to the definition for `lessthan5(num)`. - -So, now we can write a different formulation of `countbases()` using `count()`: - -```@example dna -function countbases2(seq) - a = count(base-> base == 'A', seq) - c = count(base-> base == 'C', seq) - g = count(base-> base == 'G', seq) - t = count(base-> base == 'T', seq) - return (a,c,g,t) -end -``` - -```@example dna -@assert countbases2(input_dna) == countbases(input_dna) -``` - - -!!! tip - Even though this approach is quite a bit more suscinct, - it might end up being a bit slower than `countbases`, since - it has to loop over the sequence 4 times instead of just once. - - Sometimes, you need to make trade-offs between clarity and efficiency. - One of the great things about `julia` is that a lot of ways of approaching - the same problem are often possible, and often fast (or they can be made fast). - - -### Approach 3: using BioSequences.jl - -The `BioSequences.jl` package is designed to efficiently work -with biological sequences like DNA sequences. -`BioSequences.jl` efficiently encodes biological sequences using -special types that are not `Char` or `String`s. - -```@example dna -using BioSequences - -seq = LongDNA{2}(input_dna) - -sizeof(input_dna) -``` - -```@example dna -sizeof(seq) -``` - -Counting individual nucleotides isn't the most common operation, -but `BioSequences.jl` has some [advanced searching](https://biojulia.github.io/BioSequences.jl/stable/sequence_search/) functionality -built-in. It's a bit overkill for this task, but for completeness: - - -```@example dna -function countbases3(seq) - a = count(==(DNA_A), seq) - c = count(==(DNA_C), seq) - g = count(==(DNA_G), seq) - t = count(==(DNA_T), seq) - return (a,c,g,t) -end - -@assert countbases3(seq) == countbases2(input_dna) -``` - - - -### Benchmarking - -Julia programmers like speed, -so let's benchmark our approaches! - - - -```@example dna -using BenchmarkTools - -testseq = randdnaseq(100_000) #this is defined in BioSequences -testseq_str = string(testseq) - -@benchmark countbases($testseq_str) -``` - - -```@example dna -@benchmark(countbases2($testseq_str)) -``` - -```@example dna -@benchmark countbases3($testseq) -``` - - - -Interestingly, on my system, `countbases2()` is actually faster than `countbases()`, -at least for this longer sequence. This may be because [SIMD](https://en.wikipedia.org/wiki/Single_instruction,_multiple_data) lets the calls to `count()` work in parallel. - -But, as you can see, `countbases3()` is even faster. Let me make one more function that mimics the behavior of the original `countbases()` but uses `BioSequences.jl` instead. - -```@example dna -function countbases4(seq) - a = 0 - c = 0 - g = 0 - t = 0 - for base in seq - if base == DNA_A - a += 1 # this is equivalent to `a = a + 1` - elseif base == DNA_C - c += 1 - elseif base == DNA_G - g += 1 - elseif base == DNA_T - t += 1 - else - # it is often a good idea to try to handle possible mistakes explicitly - error("Base $base is not supported") - end - end - return (a, c, g, t) -end - -@benchmark countbases4($testseq) -``` - - diff --git a/docs/src/rosalind/06-hamm.md b/docs/src/rosalind/06-hamm.md deleted file mode 100644 index 7b1f02b..0000000 --- a/docs/src/rosalind/06-hamm.md +++ /dev/null @@ -1,189 +0,0 @@ -# Counting Point Mutations - -🤔 [Problem link](https://rosalind.info/problems/hamm/) - -!!! warning "The Problem" - - Given two strings s and t of equal length, - the Hamming distance between s and t, denoted dH(s,t), - is the number of corresponding symbols that differ in s and t. - - - Given: Two DNA strings s and t of equal length (not exceeding 1 kbp). - - Return: The Hamming distance dH(s,t). - - ***Sample Dataset*** - - ``` - GAGCCTACTAACGGGAT - CATCGTAATGACGGCCT - ``` - - ***Sample Output*** - - ``` - 7 - ``` - - -To calculate the Hamming Distance between two strings/sequences, -the two strings/DNA sequences must be the same length. - -The simplest way to solve this problem is to compare the corresponding values in each string for each index and then sum the mismatches. -This is the fastest and most idiomatic Julia solution, as it leverages vector math. - -Let's give this a try! - -```julia -ex_seq_a = "GAGCCTACTAACGGGAT" -ex_seq_b = "CATCGTAATGACGGCCT" - -count(i-> ex_seq_a[i] != ex_seq_b[i], eachindex(ex_seq_a)) -``` - -### For Loop - -Another way we can approach this would be to use the for-loop. -For loops are traditionally slower and clunkier (especially in Python). -However, Julia can often optimize for-loops like this, -which is one of the things that makes it so powerful. -It has multiple processing units that can run the same task in parallel. - -We can calculate the Hamming Distance by looping over the characters in one of the strings -and checking if the corresponding character at the same index in the other string matches. - -Each mismatch will cause 1 to be added to a `counter` variable. -At the end of the loop, we can return the total value of the `counter` variable. - - - -```julia -ex_seq_a = "GAGCCTACTAACGGGAT" -ex_seq_b = "CATCGTAATGACGGCCT" - -function hamming(seq_a, seq_b) - # check if the strings are empty - if isempty(seq_a) - throw(ErrorException("empty sequences")) - end - - # check if the strings are different lengths - if length(seq_a) != length(seq_b) - throw(ErrorException(" sequences have different lengths")) - end - - mismatches = 0 - for i in 1:length(seq_a) - if seq_a[i] != seq_b[i] - mismatches += 1 - end - end - return mismatches -end - -hamming(ex_seq_a, ex_seq_b) - -``` - - -## BioAlignments method - -Instead of writing your own function, an alternative would be to use the readily-available Hamming Distance [function](https://github.com/BioJulia/BioAlignments.jl/blob/0f3cc5e1ac8b34fdde23cb3dca7afb9eb480322f/src/pairwise/algorithms/hamming_distance.jl#L4) in the `BioAlignments.jl` package. - -```julia -using BioAlignments - -ex_seq_a = "GAGCCTACTAACGGGAT" -ex_seq_b = "CATCGTAATGACGGCCT" - -bio_hamming = BioAlignments.hamming_distance(Int64, ex_seq_a, ex_seq_b) - -bio_hamming[1] - -``` - -```julia -# Double check that we got the same values from both ouputs -@assert hamming(ex_seq_a, ex_seq_b) == bio_hamming[1] -``` - - - The BioAlignments `hamming_distance` function requires three input variables -- - the first of which allows the user to control the `type` of the returned hamming distance value. - - In the above example, `Int64` is provided as the first input variable, - but `Float64` or `Int8` are also acceptable inputs. - The second two input variables are the two sequences that are being compared. - - There are two outputs of this function: - the actual Hamming Distance value and the Alignment Anchor. - The Alignment Anchor is a one-dimensional array (vector) that is the same length as the length of the input strings. - - Each value in the vector is also an AlignmentAnchor with three fields: - sequence position, reference position, and an operation code - ('0' for start, '=' for match, 'X' for mismatch). - - The Alignment Anchor for the above example is: - ``` - AlignmentAnchor[ - AlignmentAnchor(0, 0, '0'), - AlignmentAnchor(1, 1, 'X'), - AlignmentAnchor(2, 2, '='), - AlignmentAnchor(3, 3, 'X'), - AlignmentAnchor(4, 4, '='), - AlignmentAnchor(5, 5, 'X'), - AlignmentAnchor(7, 7, '='), - AlignmentAnchor(8, 8, 'X'), - AlignmentAnchor(9, 9, '='), - AlignmentAnchor(10, 10, 'X'), - AlignmentAnchor(14, 14, '='), - AlignmentAnchor(16, 16, 'X'), - AlignmentAnchor(17, 17, '=')] - ``` - - ### Distances.jl method - - Another package that calculates the Hamming distance is the [Distances package](https://github.com/JuliaStats/Distances.jl). - We can call its `hamming` function on our two test sequences: - - - -```julia -using Distances - -ex_seq_a = "GAGCCTACTAACGGGAT" -ex_seq_b = "CATCGTAATGACGGCCT" - -Distances.hamming(ex_seq_a, ex_seq_b) -``` - -## Benchmarking - -Let's test to see which method is the most efficient! -Did the for-loop slow us down? - -```julia -using BenchmarkTools - -testseq1 = string(randdnaseq(100_000)) # this is defined in BioSequences - -testseq2 = string(randdnaseq(100_000)) - - -@benchmark hamming(\$testseq1, \$testseq2) - -@benchmark BioAlignments.hamming_distance(Int64, \$testseq1, \$testseq2) - -@benchmark Distances.hamming(\$testseq1, \$testseq2) -``` - -The BioAlignments method takes up a much larger amount of memory, -and nearly three times as long to run. -However, it also generates an `AlignmentAnchor` data structure each time the function is called, -so this is not a fair comparison. -The `Distances` package is the winner here, which makes sense, -as it uses a vectorized approach. - - - diff --git a/docs/src/rosalind/index.md b/docs/src/rosalind/index.md deleted file mode 100644 index 31d0ace..0000000 --- a/docs/src/rosalind/index.md +++ /dev/null @@ -1,19 +0,0 @@ -# 🧑‍🔬 Getting Started with Rosalind.info Problems - -If you're just learning bioinformatics, -or diving into a new programming language with an interest in biology, -[Rosalind.info](https://rosalind.info/) is a fantastic resource! -It has a series of problems that get progressively harder, -and introduce different concepts. - -These tutorial notebooks will take you through how to solve many of the problems, -both using functionality from the Base julia language, -as well as using functionality from the BioJulia family of packages. - -Once you've signed up for an account at rosalind.info, come on back here, -and we'll get started! - - -```@contents -Pages = Main.ROSALIND_PAGES -``` diff --git a/docs/src/rosalind/problem_inputs/rosalind_fib.txt b/docs/src/rosalind/problem_inputs/rosalind_fib.txt deleted file mode 100644 index 92d318a..0000000 --- a/docs/src/rosalind/problem_inputs/rosalind_fib.txt +++ /dev/null @@ -1 +0,0 @@ -31 3 diff --git a/docs/src/rosalind/problem_inputs/rosalind_gc.txt b/docs/src/rosalind/problem_inputs/rosalind_gc.txt deleted file mode 100644 index d0858f5..0000000 --- a/docs/src/rosalind/problem_inputs/rosalind_gc.txt +++ /dev/null @@ -1,116 +0,0 @@ ->Rosalind_1584 -TCTGTGTGGAGGGGTAATAACGCACTGCTCATGCTCGGGAAGCGCTAATGACGTTTGTAG -CAAAACGTCAAACGAGTCACCTCTGATAGCTAAACGCCCTGTATCAGGGCCGATGAACAC -TCACGCCTCCAAAACCAGTTAGAGCAATTTCCAGGCGCGCAAGAACATCGGCTCTCGATG -CATAGAGACCGACCCGAGACAAGTCCGCGGGCTCAATGCCCGATCCTTTTACGTAGCACG -ATTACCCATTTCGCCTAACGATGGTTCGCAGGTTCAGAGTTAACGCCGTAGTACATGAAT -CCCTAGTAATATTGCCATTGTCCCTTATGCCCCGAGGTGCAACTACGACTGTCTTACAAT -TAAAACTAGACGCAGCATTGTCCTAAGACCCACGTATCAGCAGGTCACCTATCCGACCTG -CTTGACCCTGTCCTTCTCGGTTGTCGGAGCGACTCGCCGGAGTACGAATAGCCATAAAGT -AATAAAGGGAACGGTGTAGATCACGAGCTAAATTCGCTTAATCGCATGCTGAAGGGAGGG -GATCCGCACCATCATTATATGACAGAGCACGGGTGCCCCTTGCGCGATTTGTCACTCGTC -TTACATTGCCTTCCAACGCAGCCAGGGAGGACAGAAACGTCGTACGACTAAGCAGCGTGA -CGGATGTGACACACGACACCAAAATAAACTATGGCGCCTAACAGTTACTCAAATGAGAAT -CTTAGATTTATAAAGTGTTGTCACCACAGGGGGAAGTGCCGGTTAGCCTGATCAAAGCCG -TAATTAAACCCAGCCGTATTTGTTTGGCTTATGCCGGGACGCGGCGCTTCTTCTTGGTTA -CCGCTCTTGGCCCCGGGTTCCGCCTGGCACCCCATCTA ->Rosalind_0632 -ACAAACGTTGCAATGCAGCAGCTCGCATACCAAAACCCCTGTGGCCTACCGGTCATTAAC -TCGGTTTCCATCAAGTCGGCGGGCATACTGAAAGTGCAGACGCCCCGGGACAATGATTCA -CCATACTAACAGAGAAAGGGCTCTCGGTAAGCCGGGTCCCTGCGAACCCTGTAGACTTCC -ATTTCTAAGTGGATAACCCATCGAATTGTTCGACGGCTTTTAGAATGAGTTTTTCGAGCC -ACACTGCTGTCGCGGTTCGACATAAGGCCCGTCAGGCCCCTATTACTATTATTTAGCTGT -ATTTACAACCCCAACTCGAGTTTTATCGTTCGTGGAAACCGGTTTAGCACCGGCTCTGAG -AAGCAGTAGCGCCGTATTTCGCGCTCAATACTTAAACAAATATGATAGCTGATTACCCTA -AGGCCTAGGCGTTAGCGATGTGATTACATGTATCGGAGGCCTTTGTGTCTCGTTACAGAA -AGAAGGACTCGGTAAAGCTGAAGTGATTTTGATAACAATCATATTCAATTAGGGTTCTAT -GGTTTCAGAGGAGACGGAGGGCTTGGCAGACTCTTTTAAGTCGTCTGCGGTAATACAATT -ATTAAAACCAAGGAACAACAGCCCTGGAGGCTGAATGCTGGAATAGTTTAACACCATTAT -ACTTTGGGCAGTTCCAGCGCGGTACATTAATTCAAGAGATGTGCCATATCGACAAATGTC -CAAGAATCTATTAAGAAATAAGCCATTTTGTAGGCTAACGATGAGCTCCCCAGCCGCATC -CTTCATGAGTTTAAACTTTCCGTCGCGATGTACTGCCACGGGGTACGCCAAGCTGTATCA -CCCGTTGGGGTAATCCCGCGGCCCCGGAGTGTTTAACGTCCAAATAGGGGTACAAGCAAG -TGGGCGTGTGGTTCGGGCGTGACAAGCCCCCGTGGATAAATGTATAAAGGGTATTGGTTT -CTTCAGTACAC ->Rosalind_9974 -ATTGTGCGCTACATCCCAGCGAGCCACGGATGGACAAGAACATACCTTTCCGGAGCACGG -CCGGGATTAAGGTTTCGTGAGACCCTGGGATGTGCTGTTGTCAATCAAGTTTGGAATGTC -AACGCAGCCACCACGCTGCTTATAATAGGCATGGCTCCTCGTTCGTGATCAGGGGGGTTG -AGAGTCTGCACTTAGCTATATTGCATGCGAGCTCTACTCATAGCACCATACGTAGAAGGT -CCTTCCCGTAATACTTACAAACCCATCCGTCATAAGAGTTGTGTTCACGTTGCACATCAT -ACCACAACTGCCGCAGTCGCCATCGGTTCAGCATTAGTTGCGTAGGACATAAAAGAGGCT -TTAATCCCCCCTCGAACCTGCCACTTGCTGTGTGAGTCAAGGCTTCTCCGCCACGCGCGG -TCAAATTCGTGAGACAATCGTAAGGCTCTGCGTTTGCTGCGAACGGGCGCTAAATAATTG -CTACTGTGGTAGGATGACCGAGGGAGGAACAGCGATCCTACTGCACTCCGATAATGCATC -GTGTTGAAAGCAGAATCGTCTTTAAAGCAAAGTGGTCAGGAGGGGATGACCCTTTCCCTT -ACCGCATAGCGCCCCCACTTTCTGCGAGTCCCTAGCTAACTTAACCGCATCTGAAACTAA -AACCTGCTTGCGCGGCTCATCATGCCGGGGTTTAATTGCTACGCGGGCGTTCCAGAGACT -GTAGTGGTCTTGCGTCACAAGCACCCTCTATGAATTACAATTGAGGCGCTGATCTAGGAC -CCGCCTTGCGTTCTACCAAACTTCCTTTAGTATGCCCCGGATGCATTAGATCATGCTAAG -ACAAAAGTTCTGTTGTTGCACGTAGAAAGGCGTTTATGCGTACGTATGTAGCGT ->Rosalind_0894 -GCACAGATAGCGCTGCATCGCAAGTGTCCAAAGCGAAGGTCTAGGTAAGAAGGGATAACT -GGATGTTGATACGCCAGAATAGTGCCGCTGCACTTAGTGCCGGCATCTGTTGTCAAGTGC -AAGCTGTAGGGCTTCTCGCTAAACGAGACGTTCCCCGCGAAGCTGGGTCCACCAGAAACC -CTGTGTCAGCTGCGCGTCAAGTATCGCAACGCATTTTAGTTGAAGTGTCGGTGTGCTGAG -CTTCTCCAGCTGAAATAACATATTGAACTTGACAGCCCCGCACGGTGAAACTAACGTTGA -CCCGCCACCTCCGAGATGAAGCGTGCTCGCGCCGACTGGAGCTGATCGGTCAATTATTCA -GTATAGTACTGATGGTCAACGATGACCCCAAATGAATCTTCGTGTGAATTAGTGTCAACG -GTGCCCGGTGGGATGGATGTAGCTAAGGGGGCGCGTTGGTGGGAAAAGGGAAGCTGATCC -CTAACAGGCGATTTCTGTAGAAGTCCGTACTAACGTGTCGGTTACCGCGCTCGGGTGAAC -AGGTCCCGACCTGCGCGTACGGTAGGAGATTGCAGCTTTAGGTTACTTCCACGCCGATTG -TTTAACTAACTACTACAAGAGCCTAAGACATGATGGGCGAGAAATGGCGTGTCCCTTATG -GGTGTAGTGTCTTCCCCGTGATACGACTGTGACCGCTGCCCTCCCGCGAGCCTAGCCCTT -CTCTGATGTCAACGAACGATCAACACTTAGAATAGGGCTCCCAGACTATTTGTCGCCGTG -TGGCATACCACGAAATCTTACAATTACGGCCATGTTGAGGTACTAGAGCTTCATGGCAAT -TTCATACTATCTGTCATAATAACTTCTGAACTCCAAGTCGTGCTTTGAGAAAAAACCTGC -CAGGTTG ->Rosalind_6334 -CCCAATTTATTCCGTCGAATTGGAATGATACCCGATGTCCACGTCCTTGTCGCTTGCAAT -CATAATTACTCGTTGTCAATCCGTAAGCTCAGGCAGCCCTGCGGGGCCACCCGACCGGCT -GAACCGACCCCATGCGTATTTGATTCTTCTTCGAAGCTCCACCTAACGCGACTGTCTGCT -GAGACAAAGCGACGTATTATATATTAGGACCGGGTCTTGCATCTAGTCTTTGATTGAAAC -CAACTGCGGTTCTGCATTTGAATTCAGCGGCGGTCCTATTCGGGCAATAGCTCCCCTTAA -TAGGTACTAAGGCCCCTGCCTTGTATAGTACCTTGGGCTCTATATACTTGGAAGTATCCT -TTCATAGCCGCGCCTGCCGGTTAGAGACCGTGCTGTCTCATTGGTCTGTGAGAAGTCGTG -CTCGTTGACCGTAGGCATTTCTCTTTGTGGCCCTAACACATCGTTGCGTTTCGTCGTGTT -ATTGACAAATACAGTGCGCCGGTGTTGCGAGAGGCGGACAACCTGACCGTACACCCTAAT -GGTGTCGGTTAGGGATCATAGTCAACATCAAAGTCGGTTCCCCTCAAAGTTGGGAATGGG -GTATCACCACGGATGTAACTTACAAACATATGGACTATCTATACTTGGAGAGCATGTTAC -GGGCGGGACTTGCATTAGTTCTTACTCGTCCATATAAAACACCATTATACTTATCCGACG -GCTGTTCCGTACATCATTCCTACCTAAATACACCCTTTGACTACAGACCTCACCAAGAGC -TAGGAACAACCTGAGCATTCACCTCGCCGACAGTAGTCGTCTGTAATTTCCTGGACGTCA -TGCCAAATTAACCGTGTAGTTGGGATCCGGAGATTGACGGACTGGCTGGTTG ->Rosalind_2287 -GCCCTAGTTGGGACTGTAACGGAAAGCGTGACAATGGTAAGAAAGATTCCTAACGACCCC -CGTCAGCGGTACTCAACGCAAGTCTACAGAACCACTCGCCGCACTTCCGGTCATATGTTG -TCCTCCAGTGTAGCCACTATTACAATCTGACGCTAGTGACACGCATATCAGAAATCTCTT -ACAGCTAGCTCCAAAAGTAAGGCAGTATCACCTTATTCCGTAGTTTCACCCGCGGTTTCC -GCATTGACGTATTGGTTCTCGACTGTAGAGGGGCATCCTTCCATAGTATTGCTTAGAGGC -ATAACGTCGCTGCCTCAATAAGCTGAATGCTAGCTGGTCCGTTGTAATTACACTAGGCCA -ATTGCTTAAAGCTGCAATACTTGGTGTCCAAGGACAATAACCTTCAGAACGGGGCACGGT -ATGTTCAATGCTAAGAGTGCCCTCTACTGGTACTTCCGGCGCTTCGGCTGCGGAAGAAAC -TCTAAGCAATCTGAACCACGTCACCCTTTTCTACATGAATGTATTTGCGACACCGTCAAC -GACCGGGCGTCCTCTTCTTCTGCATGTCGTAGACCTTAGAAATCAAATAAGAGTGAGTGT -AGCAGCGTGAAGGCGAATAATGCCGCCGGTTTAGCCGAACGGGCTGAGTTGTTTATTTGG -GTCTTGTAGGGTATAAATGCCCAGTTGATTTTCAGTCGTAGTTAAGTCATGCATCAACGG -CCAAGGTGAGTTGACCTGTGTAGGATATTGTGGGAACACCCAATATCATACTCGACATCT -TTTCGCCGGCCACACTGATTATGGTCAAATGTGGTTTCGATGTGGTATGTTCCGAGAACT -TACCGCAC ->Rosalind_5466 -CGCACGCCGCCCGAGTTAGGAGCTAGTCGTATTACCGCTTTAATAAAGCTGCAGAAATGT -CTGGAGTCCACTCCCACATGGTGTACTTACCGCGCCGCAGTTACAGTCCTGATTTCCCAG -ACAACGATAAGGATGATTCACTCAGATCAGCCCTATCGTTCATACCTACGTACCGACGCT -ATGCCTTTTCTTAGATGTAGTGTCAAGTAGAGGACCAACTTAGTGGACAGCAGTATGTCC -CAGGTACCCCTCACAGTATAGGCCCGCTCGGAAGCGCCCCTATCAGGCTCTAAAGCAGCG -ATAATCGATCCGGGCAACTTGCCACATCACCAGGGAGTGAAGTCAGGCTCCTGGTTTCCG -CCTTAGCAGTTTGCATGCTGCTTACACGCGAGTCTCTAAAGGACACGTTCACGAGTCTGC -CCTCCTATCAGAGCCGTAAAGCGAGTTGGTAGTCGGATGATGGGTCGTTACCGTGCGACA -GTAGTTTACGTCTCGAGGAAAAAGTATCATATCCATGAACTAGGTGACCCCTATCATCTG -TTAGCCAACCGAGCATTCAGCACCCTTGAGTGATCACTATACCGAACCGACCATCTGGGA -CTAAACGGTACGCATTCATCAGCTTCCGCCTTTTCTCGGCTCATCGAACGGTAGTCGATA -CAGGGGATTCCACACGGGACTAAGTGATCGTGTGACCATGTCCGTGCGTCTAATTCTACG -GTAGCGAAGCGGGGAGGTTCCTCTTCGAAACCGCAGTCGAAGATGCCATCGGCCCTTGTC -CCACATGTCGAGTCGACTCGGACGACCAAATCTCAGCCGCGACGGTCAACTCTAAGGGTT -CTGGACTACAGTCGACTTATCACTGACGCCTCTAGGATGCGTGTTGCTAGTATTTTACAC -AGTG diff --git a/index.md b/index.md new file mode 100644 index 0000000..239c015 --- /dev/null +++ b/index.md @@ -0,0 +1,5 @@ +# BioJulia Tutorials + +Tutorials for doing bioinformatics with Julia and the BioJulia ecosystem. + +{{list_posts}} diff --git a/rosalind/01-dna.md b/rosalind/01-dna.md new file mode 100644 index 0000000..7d36b3f --- /dev/null +++ b/rosalind/01-dna.md @@ -0,0 +1,261 @@ ++++ +using Dates +date = Date("2026-01-06") +title = "Problem 1: Counting DNA Nucleotides" +rss_descr = "Solving Rosalind problem DNA using base Julia and BioSequences.jl, with benchmarks." ++++ + +# 🧬 Problem 1: Counting DNA Nucleotides + +🤔 [Problem link](https://rosalind.info/problems/dna/) + +> **Note:** For each of these problems, you are strongly encouraged +> to read through the problem descriptions, +> especially if you're somewhat new to molecular biology. +> We will mostly not repeat the background concepts in these notebooks, +> except where they are relevant to the solutions. + +> **The Problem** +> +> A string is simply an ordered collection of symbols selected from some +> alphabet and formed into a word; the length of a string is the number of symbols that it contains. +> +> An example of a length 21 DNA string (whose alphabet contains the symbols 'A', 'C', 'G', and 'T') is "ATGCTTCAGAAAGGTCTTACG." +> +> **Given**: A DNA string `s` of length at most 1000 nt. +> +> **Return**: Four integers (separated by spaces) counting the respective number +> of times that the symbols 'A', 'C', 'G', and 'T' occur in `s`. +> +> **Sample Dataset** +> +> ``` +> AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC +> ``` +> +> **Sample Output** +> +> ``` +> 20 12 17 21 +> ``` + +Let's see how it's done! + +### DNA sequences are `String`s of `Char`s + +In julia, single characters and strings, +which are made up of multiple characters, have different types. +`Char` and `String` respectively. + +They are also written differently - single quotes for a `Char`, +and double quotes for a `String`. + +```julia +chr = 'a' +str = "A" +typeof(chr) # Char +typeof(str) # String +``` + +In many ways, a `String` can be thought of as a vector of `Char`s, +and many julia functions that operate on collections like `Vector`s +will work on `String`s. +We can also loop over the contents of a string, +which will treat each `Char` separately. + +```julia +for c in "banana" + @info c +end +``` + +### Approach 1: counting in loops + +One relatively straightforward way to approach this problem +is to set a variable to `0` for each base, +then loop through the sequence, adding `1` to the appropriate +variable at each character. + +I'll also stick this into a function, +so we can easily reuse the code. + +```julia +function countbases(seq) # here `seq` is an "argument" for the function + a = 0 + c = 0 + g = 0 + t = 0 + for base in seq + if base == 'A' + a += 1 # this is equivalent to `a = a + 1` + elseif base == 'C' + c += 1 + elseif base == 'G' + g += 1 + elseif base == 'T' + t += 1 + else + # it is often a good idea to try to handle possible mistakes explicitly + error("Base $base is not supported") + end + end + return (a, c, g, t) +end + +countbases("AAA") # (3, 0, 0, 0) +``` + +Now let's see if it works on the example dataset. +Remember, we should be getting the answer `20 12 17 21` + +```julia +answer = "20 12 17 21" +input_dna = "AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC" +countbases(input_dna) # (20, 12, 17, 21) +``` + +Well, the formatting is just a bit different - +The julia type is a `Tuple`, which is surrounded by parentheses. +To fix this, we can use the `join` function. + +```julia +@assert join(countbases(input_dna), " ") == answer +``` + +### Approach 2: using `count()` + +Another approach is to use the built-in `count()` function, +which takes a "predicate" function as the first argument +and an iterable collection as the second argument. +The predicate function must take each element of the collection, +and return either `true` or `false`. +The `count()` function then returns the number of elements +that returned `true`. + +For example, if I define the `lessthan5()` function +to return `true` if a value is less than 5, +I can then use it as a predicate to count the number of values +in a `Vector` of numbers that are less than 5. + +```julia +function lessthan5(num) + return num < 5 +end + +count(lessthan5, [1, 5, 6, -3, 3]) # 3 +``` + +Often, we don't want to have to define a simple function like `lessthan5()` +for every predicate we want to test, especially if they will only be used once. +Instead, we can use an "anonymous" function (also sometimes called "lambdas") +as the first argument. + +In julia, anonymous functions have the syntax `arg -> func_body`. +In other words, the same expression above could be written as: + +```julia +count(num -> num < 5, [1, 5, 6, -3, 3]) # 3 +``` + +Here, `num -> num < 5` is identical to the definition for `lessthan5(num)`. + +So, now we can write a different formulation of `countbases()` using `count()`: + +```julia +function countbases2(seq) + a = count(base-> base == 'A', seq) + c = count(base-> base == 'C', seq) + g = count(base-> base == 'G', seq) + t = count(base-> base == 'T', seq) + return (a,c,g,t) +end + +@assert countbases2(input_dna) == countbases(input_dna) +``` + +> **Tip:** Even though this approach is quite a bit more succinct, +> it might end up being a bit slower than `countbases`, since +> it has to loop over the sequence 4 times instead of just once. +> +> Sometimes, you need to make trade-offs between clarity and efficiency. +> One of the great things about `julia` is that a lot of ways of approaching +> the same problem are often possible, and often fast (or they can be made fast). + + +### Approach 3: using BioSequences.jl + +The `BioSequences.jl` package is designed to efficiently work +with biological sequences like DNA sequences. +`BioSequences.jl` efficiently encodes biological sequences using +special types that are not `Char` or `String`s. + +```julia +using BioSequences + +seq = LongDNA{2}(input_dna) + +sizeof(input_dna) # 70 bytes (1 byte per char) +sizeof(seq) # 18 bytes (2 bits per base) +``` + +Counting individual nucleotides isn't the most common operation, +but `BioSequences.jl` has some [advanced searching](https://biojulia.github.io/BioSequences.jl/stable/sequence_search/) functionality +built-in. It's a bit overkill for this task, but for completeness: + +```julia +function countbases3(seq) + a = count(==(DNA_A), seq) + c = count(==(DNA_C), seq) + g = count(==(DNA_G), seq) + t = count(==(DNA_T), seq) + return (a,c,g,t) +end + +@assert countbases3(seq) == countbases2(input_dna) +``` + +### Benchmarking + +Julia programmers like speed, +so let's benchmark our approaches! + +```julia +using BenchmarkTools + +testseq = randdnaseq(100_000) #this is defined in BioSequences +testseq_str = string(testseq) + +@benchmark countbases($testseq_str) +@benchmark countbases2($testseq_str) +@benchmark countbases3($testseq) +``` + +Interestingly, `countbases2()` is actually faster than `countbases()`, +at least for longer sequences. This may be because [SIMD](https://en.wikipedia.org/wiki/Single_instruction,_multiple_data) lets the calls to `count()` work in parallel. + +But `countbases3()` is even faster. Let me make one more function that mimics the behavior of the original `countbases()` but uses `BioSequences.jl` instead. + +```julia +function countbases4(seq) + a = 0 + c = 0 + g = 0 + t = 0 + for base in seq + if base == DNA_A + a += 1 + elseif base == DNA_C + c += 1 + elseif base == DNA_G + g += 1 + elseif base == DNA_T + t += 1 + else + error("Base $base is not supported") + end + end + return (a, c, g, t) +end + +@benchmark countbases4($testseq) +``` diff --git a/docs/src/rosalind/02-rna.md b/rosalind/02-rna.md similarity index 67% rename from docs/src/rosalind/02-rna.md rename to rosalind/02-rna.md index ea9ad4e..7de17ec 100644 --- a/docs/src/rosalind/02-rna.md +++ b/rosalind/02-rna.md @@ -1,34 +1,41 @@ ++++ +using Dates +date = Date("2026-01-05") +title = "Problem 2: Transcription" +rss_descr = "Solving Rosalind problem RNA — converting a DNA string to RNA — using base Julia and BioSequences.jl." ++++ -## ✍️ Problem 2: Transcription +# ✍️ Problem 2: Transcription 🤔 [Problem link](https://rosalind.info/problems/rna/) -!!! warning "The Problem" - An RNA string is a string formed from the alphabet containing 'A', 'C', 'G', and 'U'. - - Given a DNA string $t$ corresponding to a coding strand, - its transcribed RNA string $u$ is formed - by replacing all occurrences of 'T' in $t$ with 'U' in $u$. - - _Given_: A DNA string $t$ having length at most 1000 nt. - - _Return_: The transcribed RNA string of $t$. - - **Sample Dataset** - - ```txt - GATGGAACTTGACTACGTAAATT - ``` - - **Sample Output** - - ```txt - GAUGGAACUUGACUACGUAAAUU - ``` +> **The Problem** +> +> An RNA string is a string formed from the alphabet containing 'A', 'C', 'G', and 'U'. +> +> Given a DNA string $t$ corresponding to a coding strand, +> its transcribed RNA string $u$ is formed +> by replacing all occurrences of 'T' in $t$ with 'U' in $u$. +> +> _Given_: A DNA string $t$ having length at most 1000 nt. +> +> _Return_: The transcribed RNA string of $t$. +> +> **Sample Dataset** +> +> ``` +> GATGGAACTTGACTACGTAAATT +> ``` +> +> **Sample Output** +> +> ``` +> GAUGGAACUUGACUACGUAAAUU +> ``` ### Approach 1 - string `replace()` -```@example rna; output=false +```julia input_dna = "GATGGAACTTGACTACGTAAATT" answer = "GAUGGAACUUGACUACGUAAAUU" ``` @@ -42,19 +49,20 @@ or even a regular expression. But here, we can just use a `Char`. I'll also write the function using julia's one-line function definition syntax: - -```@example rna -input_dna == "GATGGAACTTGACTACGTAAATT" - +```julia simple_transcribe(seq) = replace(seq, 'T'=> 'U') @assert simple_transcribe(input_dna) == answer ``` As always, there are lots of ways you *could* do this. -This function won't hanndle poorly formatted sequences, +This function won't handle poorly formatted sequences, for example. Or rather, it will handle them, even though it shouldn't: +```julia +simple_transcribe("This Is QUITE silly") # "This Is QUIUE silly" +``` + ### Approach 2 - BioSequences `LongRNA` As you might expect, `BioSequences.jl` has a way to do this as well. @@ -64,27 +72,18 @@ or amino acid sequences. In some cases, eg DNA or RNA with no ambiguous bases, using as few as 2 bits per base. -```@example rna +```julia using BioSequences dna_seq = LongDNA{2}(input_dna) - simple_transcribe(seq::LongDNA{N}) where N = LongRNA{N}(seq) rna_seq = simple_transcribe(dna_seq) -``` -```@example rna @assert String(rna_seq) == answer ``` -```@example rna -simple_transcribe("This Is QUITE silly") -``` - - - A couple of things to note here. First, I'm taking advantage of julia's multiple dispatch system. Instead of writing a separate function name for dealing with @@ -101,31 +100,19 @@ that we can use any DNA alphabet (2 bit or 4 bit), and get similar behavior. ### Benchmarks - -```@example rna +```julia using BenchmarkTools testseq = randdnaseq(100_000) #this is defined in BioSequences testseq_str = string(testseq) - -@benchmark simple_transcribe($testseq) -``` - - -```@example rna +@benchmark simple_transcribe($testseq_str) @benchmark simple_transcribe(x) setup=(x=LongDNA{2}(testseq)) -``` - -```@example rna @benchmark simple_transcribe(x) setup=(x=LongDNA{4}(testseq)) ``` - - ### Conclusions -I'm actually a little surprised that the `replace()` method does so well, -but there you have it. The `BioJulia method is about 2x faster on a 2-bit sequence -(that is, if there's no ambiguity), but about the same speed on 4-bit sequences. - +The `replace()` method does surprisingly well, +but the BioJulia method is about 2x faster on a 2-bit sequence +(that is, if there's no ambiguity), and about the same speed on 4-bit sequences. diff --git a/docs/src/rosalind/03-revc.md b/rosalind/03-revc.md similarity index 61% rename from docs/src/rosalind/03-revc.md rename to rosalind/03-revc.md index f2d6b14..c0c846b 100644 --- a/docs/src/rosalind/03-revc.md +++ b/rosalind/03-revc.md @@ -1,41 +1,47 @@ ++++ +using Dates +date = Date("2026-01-04") +title = "Problem 3: Reverse Complement" +rss_descr = "Solving Rosalind problem REVC — computing the reverse complement of a DNA string — using base Julia and BioSequences.jl." ++++ -## 😉 Problem 3 - Getting the complement +# 😉 Problem 3: Reverse Complement I know, I know, [not the *compliment*](https://www.grammarly.com/blog/complement-compliment/), but if you have a better emoji idea, let me know. -!!! warning "The Problem" - In DNA strings, symbols 'A' and 'T' are complements of each other, as are 'C' and 'G'. - - The reverse complement of a DNA string $s$ is the string $sc$ formed by reversing the symbols of $s$, - then taking the complement of each symbol (e.g., the reverse complement of "GTCA" is "TGAC"). - - _Given_: A DNA string $s$ of length at most 1000 bp. - - _Return_: The reverse complement $sc$ of $s$. - - **Sample Dataset** - - ```txt - AAAACCCGGT - ``` - **Sample Output** - - ```txt - ACCGGGTTTT - ``` - +🤔 [Problem link](https://rosalind.info/problems/revc/) + +> **The Problem** +> +> In DNA strings, symbols 'A' and 'T' are complements of each other, as are 'C' and 'G'. +> +> The reverse complement of a DNA string $s$ is the string $sc$ formed by reversing the symbols of $s$, +> then taking the complement of each symbol (e.g., the reverse complement of "GTCA" is "TGAC"). +> +> _Given_: A DNA string $s$ of length at most 1000 bp. +> +> _Return_: The reverse complement $sc$ of $s$. +> +> **Sample Dataset** +> +> ``` +> AAAACCCGGT +> ``` +> +> **Sample Output** +> +> ``` +> ACCGGGTTTT +> ``` This one is a bit tougher - we need to change each base coming in, and then reverse the result. Actually, that second part is easy, -becuase julia has a built-in `reverse()` function that works for `String`s. - +because julia has a built-in `reverse()` function that works for `String`s. -```@example revc -reverse("complement") +```julia +reverse("complement") # "tnemelpmoc" ``` - - ### Approach 1: using a `Dict`ionary In my opinion, the easiest thing to do is to use a `Dict()`, @@ -43,34 +49,28 @@ a data structure that allows arbitrary keys to look up arbitrary entries. For example: - -```@example revc +```julia my_dictionary = Dict("thing1"=> "hello", "thing2" => "world!") - -my_dictionary["thing1"] -``` - -```@example revc -my_dictionary["thing2"] +my_dictionary["thing1"] # "hello" +my_dictionary["thing2"] # "world!" ``` So, we just make a dictionary with 4 entries, one for each base. Then, to apply this to every base in the sequence, we have a couple of options. -One is to use the `String()` constructor and a "comprehension" - +One is to use the `String()` constructor and a "comprehension" - basically a `for` loop in a single phrase: - -```@example revc +```julia function revc(seq) - comp_dict = Dict( - 'A'=>'T', - 'C'=>'G', - 'G'=>'C', - 'T'=>'A' - ) - comp = String([comp_dict[base] for base in seq]) - return reverse(comp) + comp_dict = Dict( + 'A'=>'T', + 'C'=>'G', + 'G'=>'C', + 'T'=>'A' + ) + comp = String([comp_dict[base] for base in seq]) + return reverse(comp) end ``` @@ -79,13 +79,13 @@ Here, the "comprehension" `[comp_dict[base] for base in seq]` is equivalent to s ```julia comp = Char[] for base in seq - push!(comp, comp_dict[base]) + push!(comp, comp_dict[base]) end ``` So let's see if it works! -```@example revc +```julia input_dna = "AAAACCCGGT" answer = "ACCGGGTTTT" @@ -96,23 +96,21 @@ answer = "ACCGGGTTTT" ### Approach 2: using `replace()` again It turns out, the `replace()` function we used for the transcription problem -can be passed mulitple `Pair`s of patterns to replace! +can be passed multiple `Pair`s of patterns to replace! So we can just pass the pairs directly: - -```@example revc +```julia function revc2(seq) - comp = replace(seq, - 'A'=>'T', - 'C'=>'G', - 'G'=>'C', - 'T'=>'A' - ) - return reverse(comp) + comp = replace(seq, + 'A'=>'T', + 'C'=>'G', + 'G'=>'C', + 'T'=>'A' + ) + return reverse(comp) end - @assert revc(input_dna) == revc2(input_dna) ``` @@ -121,40 +119,24 @@ end This is a pretty common need in bioinformatics, so `BioSequences.jl` actually has a `reverse_complement()` function built-in. - -```@example revc +```julia using BioSequences -reverse_complement(LongDNA{2}(input_dna)) +reverse_complement(LongDNA{2}(input_dna)) # ACCGGGTTTT ``` +### Benchmarks -### Once more, benchmarks - - -```@example revc +```julia using BenchmarkTools - testseq = randdnaseq(100_000) #this is defined in BioSequences testseq_str = string(testseq) - @benchmark revc($testseq_str) -``` - -```@example revc @benchmark revc2($testseq_str) -``` - - -```@example revc @benchmark reverse_complement($testseq) -``` - - -```@example revc @benchmark reverse_complement(testseq_4bit) setup=(testseq_4bit = convert(LongDNA{4}, testseq)) ``` @@ -163,8 +145,6 @@ testseq_str = string(testseq) This one is a no-brainer! The `reverse_complement()` function is about 200x faster than the dictionary method, and about 1000x faster than `replace()` for both 2 bit and 4 bit DNA sequences. - - ## ⌛ Overall Conclusions A lot of bioinformatics is essentially string manipulation. @@ -173,5 +153,3 @@ directly, but those methods often leave a lot of performance on the table. `BioSequences.jl` provides some nice sequence types and incredibly efficient data structures. We'll be seeing more of them in coming tutorials. - - diff --git a/docs/src/rosalind/04-fib.md b/rosalind/04-fib.md similarity index 82% rename from docs/src/rosalind/04-fib.md rename to rosalind/04-fib.md index 66039e0..a1e3644 100644 --- a/docs/src/rosalind/04-fib.md +++ b/rosalind/04-fib.md @@ -1,25 +1,35 @@ -# ♻️ 🐇 Rabbits and Recurrence Relations - -[Original Problem](https://rosalind.info/problems/fib/) - -!!! warning "The Problem" - _Given_: Positive integers ``n≤40`` - and $k≤5$. - - _Return_: The total number of rabbit pairs - that will be present after ``n`` months, - if we begin with 1 pair and in each generation, - every pair of reproduction-age rabbits produces a litter of ``k`` - rabbit pairs (instead of only 1 pair). - - Sample Dataset - ```txt - 5 3 - ``` - Sample Output - ``` - 19 - ``` ++++ +using Dates +date = Date("2026-01-03") +title = "Problem 4: Rabbits and Recurrence Relations" +rss_descr = "Solving Rosalind problem FIB — Fibonacci recurrence relations — to explore Julia features like recursion, multiple dispatch, and file I/O." ++++ + +# ♻️ 🐇 Problem 4: Rabbits and Recurrence Relations + +🤔 [Problem link](https://rosalind.info/problems/fib/) + +> **The Problem** +> +> _Given_: Positive integers $n \leq 40$ and $k \leq 5$. +> +> _Return_: The total number of rabbit pairs +> that will be present after $n$ months, +> if we begin with 1 pair and in each generation, +> every pair of reproduction-age rabbits produces a litter of $k$ +> rabbit pairs (instead of only 1 pair). +> +> **Sample Dataset** +> +> ``` +> 5 3 +> ``` +> +> **Sample Output** +> +> ``` +> 19 +> ``` This is a classic computer science problem, but not _directly_ biology focused. @@ -32,10 +42,10 @@ we simply have a function call itself. As in any language, the key is to have a bail-out condition to avoid infinite recursion. -In this case, the bail-out is when you reach ``1``, +In this case, the bail-out is when you reach $1$, and it's also helpful to avoid invalid inputs. -```@example fib +```julia function fib(n::Int, k::Int) # validate inputs n >= 0 || error("N must be greater than or equal to 0") @@ -88,7 +98,7 @@ if n <= 1 ``` This is our recursion bail-out or "base case". -Once we reach ``1`` or ``0``, we don't want to recurse any more, +Once we reach $1$ or $0$, we don't want to recurse any more, we just return that value. ```julia @@ -98,13 +108,13 @@ end ``` If we're not at the base case, we recurse. -We call the function again, but with ``n - 1`` +We call the function again, but with $n - 1$ for the previous generation, -and ``n - 2`` for the generation before that. -We also multiply the second call by ``k`` +and $n - 2$ for the generation before that. +We also multiply the second call by $k$ to handle the fact that each pair of rabbits from two generations ago (the ones that have matured) -produce ``k`` pairs of rabbits when they breed. +produce $k$ pairs of rabbits when they breed. ## Multiple dispatch @@ -119,7 +129,7 @@ function fib(n::Int, k::Int) ``` Here, we're defining a function with 2 arguments, -``n`` and ``k``. +$n$ and $k$. The `::Int` syntax forces the arguments to have the type `Int`, which is short-hand for a 64-bit integer. @@ -167,23 +177,23 @@ and tries to convert them into integers. To do that, we use the `parse()` function. For example: -```@example fib -parse(Int, "5") +```julia +parse(Int, "5") # 5 ``` So, here's a version of `fib` that takes `String`s as arguments: -```@example fib +```julia function fib(n::String, k::String) nint = parse(Int, n) kint = parse(Int, k) fib(nint, kint) end -fib("5", "3") +fib("5", "3") # 19 ``` -Ok, but this still doesn't work: +Ok, but this still doesn't work for mixed types: ```julia-repl julia> fib("2", 3) @@ -192,35 +202,25 @@ The function `fib` exists, but no method is defined for this combination of argu Closest candidates are: fib(::String, ::String) - @ Main REPL[2]:1 fib(::Int64, ::Int64) - @ Main REPL[1]:1 ``` We could now go through and define methods of `fib` that take different types of arguments. For example: -```@example fib +```julia function fib(n::String, k::Int) nint = parse(Int, n) fib(nint, k) end -``` - -or -```@example fib function fib(n::Int, k::String) kint = parse(Int, k) fib(n, kint) end -``` - -Now, we can call `fib` with an `Int` and a `String`: -```@example fib -fib(2, "3") +fib(2, "3") # works now ``` ## Parsing files @@ -242,7 +242,7 @@ which loads all of the lines of the file into `Vector{String}`. When you have really large files, this can be annoying, and you can instead use the `eachline()` function, -so you can do something like `for line in readlines("input.txt")` +so you can do something like `for line in eachline("input.txt")` and deal with each line separately. But in this case (and the previous rosalind.info problems we've looked at), @@ -266,7 +266,7 @@ Finally, because of the format of this input in particular, we'll use the `split()` function to split the string into two parts, and then convert each part to an integer using the `parse()` function. -```@example fib +```julia function read_fib(file) numbers = read(file, String) numbers = strip(numbers) # remove trailing newline @@ -274,6 +274,6 @@ function read_fib(file) return parse(Int, n_str), parse(Int, k_str) end -(n,k) = read_fib("problem_inputs/rosalind_fib.txt") +(n, k) = read_fib("rosalind_fib.txt") fib(n, k) ``` diff --git a/docs/src/rosalind/05-gc.md b/rosalind/05-gc.md similarity index 64% rename from docs/src/rosalind/05-gc.md rename to rosalind/05-gc.md index 1418349..571ae18 100644 --- a/docs/src/rosalind/05-gc.md +++ b/rosalind/05-gc.md @@ -1,55 +1,66 @@ -# 🧮 Computing GC content - -!!! warning "The Problem" - The GC-content of a DNA string is given by the percentage of symbols - in the string that are 'C' or 'G'. - For example, the GC-content of "AGCTATAG" is 37.5%. - Note that the reverse complement of any DNA string has the same GC-content. - - DNA strings must be labeled when they are consolidated into a database. - A commonly used method of string labeling is called FASTA format. - In this format, the string is introduced by a line that begins with '>', - followed by some labeling information. - Subsequent lines contain the string itself; - the first line to begin with '>' indicates the label of the next string. - - In Rosalind's implementation, - a string in FASTA format will be labeled by the ID "Rosalind_xxxx", - where "xxxx" denotes a four-digit code between 0000 and 9999. - - _Given_: At most 10 DNA strings in FASTA format (of length at most 1 kbp each). - - _Return_: The ID of the string having the highest GC-content, followed by the GC-content of that string. - Rosalind allows for a default error of 0.001 in all decimal answers unless otherwise stated; - please see the note on absolute error below. - - **Sample Dataset** - ``` - >Rosalind_6404 - CCTGCGGAAGATCGGCACTAGAATAGCCAGAACCGTTTCTCTGAGGCTTCCGGCCTTCCC - TCCCACTAATAATTCTGAGG - >Rosalind_5959 - CCATCGGTAGCGCATCCTTAGTCCAATTAAGTCCCTATCCAGGCGCTCCGCCGAAGGTCT - ATATCCATTTGTCAGCAGACACGC - >Rosalind_0808 - CCACCCTCGTGGTATGGCTAGGCATTCAGGAACCGGAGAACGCTTCAGACCAGCCCGGAC - TGGGAACCTGCGGGCAGTAGGTGGAAT - ``` - - **Sample Output** - ``` - Rosalind_0808 - 60.919540 - ``` - -There are are really 3 parts of this problem. ++++ +using Dates +date = Date("2026-01-02") +title = "Problem 5: Computing GC Content" +rss_descr = "Solving Rosalind problem GC — computing GC content from FASTA files — using base Julia and FASTX.jl." ++++ + +# 🧮 Problem 5: Computing GC Content + +🤔 [Problem link](https://rosalind.info/problems/gc/) + +> **The Problem** +> +> The GC-content of a DNA string is given by the percentage of symbols +> in the string that are 'C' or 'G'. +> For example, the GC-content of "AGCTATAG" is 37.5%. +> Note that the reverse complement of any DNA string has the same GC-content. +> +> DNA strings must be labeled when they are consolidated into a database. +> A commonly used method of string labeling is called FASTA format. +> In this format, the string is introduced by a line that begins with '>', +> followed by some labeling information. +> Subsequent lines contain the string itself; +> the first line to begin with '>' indicates the label of the next string. +> +> In Rosalind's implementation, +> a string in FASTA format will be labeled by the ID "Rosalind_xxxx", +> where "xxxx" denotes a four-digit code between 0000 and 9999. +> +> _Given_: At most 10 DNA strings in FASTA format (of length at most 1 kbp each). +> +> _Return_: The ID of the string having the highest GC-content, followed by the GC-content of that string. +> Rosalind allows for a default error of 0.001 in all decimal answers unless otherwise stated. +> +> **Sample Dataset** +> +> ``` +> >Rosalind_6404 +> CCTGCGGAAGATCGGCACTAGAATAGCCAGAACCGTTTCTCTGAGGCTTCCGGCCTTCCC +> TCCCACTAATAATTCTGAGG +> >Rosalind_5959 +> CCATCGGTAGCGCATCCTTAGTCCAATTAAGTCCCTATCCAGGCGCTCCGCCGAAGGTCT +> ATATCCATTTGTCAGCAGACACGC +> >Rosalind_0808 +> CCACCCTCGTGGTATGGCTAGGCATTCAGGAACCGGAGAACGCTTCAGACCAGCCCGGAC +> TGGGAACCTGCGGGCAGTAGGTGGAAT +> ``` +> +> **Sample Output** +> +> ``` +> Rosalind_0808 +> 60.919540 +> ``` + +There are really 3 parts of this problem. 1. Parse the input, which is in a common biological format, FASTA 2. Calculate the GC content 3. Iterate through the input, keeping track of the largest GC content. Let's start with part 2, since it's quite similar to something we solved -[in the very first problem](@ref "🧬 Problem 1: Counting DNA nucleotides"). +in [Problem 1: Counting DNA Nucleotides](/rosalind/01-dna). ## Calculating GC content @@ -63,7 +74,7 @@ which we're using as a "predicate" for the `count()` function. That is, `count()` will return the sum of elements where the predicate returns `true`. -```@example gc +```julia my_seq = "AACCGGTTCT" function myGC(seq) @@ -71,7 +82,7 @@ function myGC(seq) return gcs / length(seq) end -myGC(my_seq) +myGC(my_seq) # 0.4 ``` A few things to note about this - @@ -79,8 +90,8 @@ There's no validation of the input, so this function will happily count the capital G's and C's of any string: -```@example gc -myGC("Goodbye, Cruel World!") +```julia +myGC("Goodbye, Cruel World!") # 0.1904... ``` But for now, this will do. @@ -93,41 +104,41 @@ But before we get there, let's take a look at another problem with being permissive in our type signature up above: -```@example gc +```julia using BioSequences bioseq = LongDNA{2}(my_seq) -myGC(bioseq) +myGC(bioseq) # 0.0 -- wrong! ``` What's going on here? The definition above tries to count the `Char`s 'G' and 'C', but when we iterate a `LongDNA`, we get back nucleotide types. -So none of them match, providing a count of ``0``. +So none of them match, providing a count of $0$. We could modify the original function to look also for `DNA_C`, `DNA_G`, `RNA_C`, and `RNA_G`, or we can use the built-in predicate function `isGC()` from BioSequences, which returns `true` if it encounters any G or C nucleotide. -```@example gc +```julia function myGC(seq::LongNuc) # this type matches LongDNA or LongRNA - gcs = count(isGC, bioseq) + gcs = count(isGC, seq) return gcs / length(seq) end -myGC(bioseq) +myGC(bioseq) # 0.4 ``` Or, even more simply, there's already a `gc_content()` function in BioSequences.jl: -```@example gc -gc_content(bioseq) +```julia +gc_content(bioseq) # 0.4 ``` ## Parsing the file We need to get this part done next. -We started talking about dealing with files in the [last problem](@ref "♻️ 🐇 Rabbits and Recurrence Relations"), +We started talking about dealing with files in [Problem 4](/rosalind/04-fib), but let's go into a bit more detail. When you want speed, there are a lot of tricks @@ -148,8 +159,7 @@ To begin with, let's write a function that just goes through the whole file, putting each sequence record into a `Vector`. - -```@example gc +```julia function parse_fasta(buffer) records = [] # this is a Vector of type `Any` record_name = "" @@ -187,7 +197,6 @@ So we start with an empty `Vector` called `records`, and empty `String`s representing the record name and sequence. we need to assign these variables outside the "scope" of the loop, otherwise they won't persist outside of it. -We'll talk more about "scope" another time. Then, we go through each line of the file, checking if it starts with `">"`. @@ -196,34 +205,21 @@ and reset the `record_name` and `sequence` variables. If it doesn't, we append the line to the `sequence` variable (in julia, we combine strings with the `*` operator). -The `isempty(record_name)` check in the 7th line of the function is used +The `isempty(record_name)` check is used for the first record, to avoid pushing the initial empty strings, and the final `push!(records, (record_name, sequence))` is to deal with the final sequence, since the loop will terminate without encountering a final `>`. -!!! tip "Our 'fake file'" - To show off how this works, we're using an `IOBuffer`, - which in most cases works pretty similar to an open file buffer. - One thing to keep in mind is that, unlike a `String` or other data structure, - the reading through of an `IOBuffer` moves the "read head" - - in other words, there's a pointer to the end of the file after we've read through it. - - So if we run our function again: - - ```@example gc - records = parse_fasta(fake_file) - ``` - - We can see that the `records` vector only contains a Tuple with empty strings, - since the loop never runs - `eachline(file)` here doesn't have any entries. - - If you need to use it again, you can reset the `IOBuffer` using the `seekstart()` function: - - ```@example gc - seekstart(fake_file) - records = parse_fasta(fake_file) - ``` +> **Tip:** Unlike a `String` or other data structure, +> reading through an `IOBuffer` moves the "read head" — +> there's a pointer to the end of the buffer after we've read through it. +> If you need to use it again, reset the `IOBuffer` using the `seekstart()` function: +> +> ```julia +> seekstart(fake_file) +> records = parse_fasta(fake_file) +> ``` At this stage, we could take our `records` Vector, find the maximum gc entry, and then get that record. @@ -237,42 +233,39 @@ in a vector or other container. In julia, the syntax for indexing is `container[index]`. And notice that, since each of our `records` are themselves containers (`Tuple`s), we can access the first element of each record (the identifier) using `record[1]`, -and the second element of each record (the sequence)using `record[2]`. +and the second element of each record (the sequence) using `record[2]`. -!!! tip "One-based indexing" - Julia uses one-based indexing, meaning that the first element of a container is at index 1, - not 0 as in some other languages like Python. +> **Tip:** Julia uses one-based indexing, meaning that the first element of a container is at index 1, +> not 0 as in some other languages like Python. -```@example gc +```julia i = findmax(record -> myGC(record[2]), records)[2] -``` - -```@example gc top_gc = records[i][1] # the first index gets the record, and the `[1]` gets the identifier ``` -!!! tip "do-block syntax" - Many functions in Julia take a function as the first argument, - and sometimes the `->` anonymous function syntax is a bit annoying to use. - Instead, one can use the `do` block syntax. - This is a way to write a more complicated anonymous function, - eg one with multiple lines. - - The structure of it is: - - ```julia - some_func(iterator) do args # args is/are the argument(s) to the function - # function body - end - ``` - - In other words, our `findmax` function above could have been written as: - - ```julia - i = findmax(records) do record - gc_content(record[2]) - end - ``` +> **Tip: do-block syntax** +> +> Many functions in Julia take a function as the first argument, +> and sometimes the `->` anonymous function syntax is a bit annoying to use. +> Instead, one can use the `do` block syntax. +> This is a way to write a more complicated anonymous function, +> eg one with multiple lines. +> +> The structure of it is: +> +> ```julia +> some_func(iterator) do args # args is/are the argument(s) to the function +> # function body +> end +> ``` +> +> In other words, our `findmax` function above could have been written as: +> +> ```julia +> i = findmax(records) do record +> myGC(record[2]) +> end +> ``` ### Don't store the whole file in memory @@ -286,7 +279,7 @@ and calculate the GC content on the fly. This way, you only need to keep one record in memory at a time, and you can find the record with the highest GC content without having to store all records in memory. -```@example gc +```julia function streaming_gc(buffer) max_gc = 0.0 max_id = "" @@ -319,7 +312,7 @@ function streaming_gc(buffer) end seekstart(fake_file) -streaming_gc(fake_file) +streaming_gc(fake_file) # "Rosalind_0808" ``` ### BioSequences method @@ -331,10 +324,10 @@ In julia, that package is called [`FASTX.jl`](https://github.com/BioJulia/FASTX. (there's also a "FASTQ" file format). This package provides FASTA "readers" and "writers", -and return iterators that validate recores and return -data structures containing the sequeince identifiers and `BioSeqeunce`s. +and return iterators that validate records and return +data structures containing the sequence identifiers and `BioSequence`s. -```@example gc +```julia using FASTX function fastx_gc(buffer) @@ -354,7 +347,7 @@ function fastx_gc(buffer) end seekstart(fake_file) -fastx_gc(fake_file) +fastx_gc(fake_file) # ("Rosalind_0808", 0.6091954...) ``` ## Reading the file @@ -369,12 +362,12 @@ which takes a file path, and optionally a function to call with the file handle. If we don't provide a function, we get an IOBuffer just as we've been using, but we need to be sure to close it when we're done. -```@example gc +```julia function file_gc(filename) max_id, max_gc = open(fastx_gc, filename) println(max_id) println(100 * max_gc) end -file_gc("problem_inputs/rosalind_gc.txt") +file_gc("rosalind_gc.txt") ``` diff --git a/rosalind/06-hamm.md b/rosalind/06-hamm.md new file mode 100644 index 0000000..fd4fbb7 --- /dev/null +++ b/rosalind/06-hamm.md @@ -0,0 +1,155 @@ ++++ +using Dates +date = Date("2026-01-01") +title = "Problem 6: Counting Point Mutations" +rss_descr = "Solving Rosalind problem HAMM — computing the Hamming distance between two DNA strings — using base Julia, BioAlignments.jl, and Distances.jl." ++++ + +# 🔬 Problem 6: Counting Point Mutations + +🤔 [Problem link](https://rosalind.info/problems/hamm/) + +> **The Problem** +> +> Given two strings s and t of equal length, +> the Hamming distance between s and t, denoted dH(s,t), +> is the number of corresponding symbols that differ in s and t. +> +> _Given_: Two DNA strings s and t of equal length (not exceeding 1 kbp). +> +> _Return_: The Hamming distance dH(s,t). +> +> **Sample Dataset** +> +> ``` +> GAGCCTACTAACGGGAT +> CATCGTAATGACGGCCT +> ``` +> +> **Sample Output** +> +> ``` +> 7 +> ``` + +To calculate the Hamming Distance between two strings/sequences, +the two strings/DNA sequences must be the same length. + +The simplest way to solve this problem is to compare the corresponding values in each string for each index and then sum the mismatches. +This is the fastest and most idiomatic Julia solution, as it leverages vector math. + +```julia +ex_seq_a = "GAGCCTACTAACGGGAT" +ex_seq_b = "CATCGTAATGACGGCCT" + +count(i-> ex_seq_a[i] != ex_seq_b[i], eachindex(ex_seq_a)) # 7 +``` + +### For Loop + +Another way we can approach this would be to use a for-loop. +For loops are traditionally slower and clunkier (especially in Python). +However, Julia can often optimize for-loops like this, +which is one of the things that makes it so powerful. + +```julia +function hamming(seq_a, seq_b) + if isempty(seq_a) + throw(ErrorException("empty sequences")) + end + if length(seq_a) != length(seq_b) + throw(ErrorException("sequences have different lengths")) + end + + mismatches = 0 + for i in 1:length(seq_a) + if seq_a[i] != seq_b[i] + mismatches += 1 + end + end + return mismatches +end + +hamming(ex_seq_a, ex_seq_b) # 7 +``` + +## BioAlignments method + +Instead of writing your own function, an alternative would be to use the readily-available Hamming Distance [function](https://github.com/BioJulia/BioAlignments.jl/blob/0f3cc5e1ac8b34fdde23cb3dca7afb9eb480322f/src/pairwise/algorithms/hamming_distance.jl#L4) in the `BioAlignments.jl` package. + +```julia +using BioAlignments + +bio_hamming = BioAlignments.hamming_distance(Int64, ex_seq_a, ex_seq_b) +bio_hamming[1] # 7 + +@assert hamming(ex_seq_a, ex_seq_b) == bio_hamming[1] +``` + +The BioAlignments `hamming_distance` function requires three input variables -- +the first of which allows the user to control the `type` of the returned hamming distance value. + +In the above example, `Int64` is provided as the first input variable, +but `Float64` or `Int8` are also acceptable inputs. +The second two input variables are the two sequences that are being compared. + +There are two outputs of this function: +the actual Hamming Distance value and the Alignment Anchor. +The Alignment Anchor is a one-dimensional array (vector) that is the same length as the length of the input strings. + +Each value in the vector is also an AlignmentAnchor with three fields: +sequence position, reference position, and an operation code +('0' for start, '=' for match, 'X' for mismatch). + +The Alignment Anchor for the above example is: + +``` +AlignmentAnchor[ + AlignmentAnchor(0, 0, '0'), + AlignmentAnchor(1, 1, 'X'), + AlignmentAnchor(2, 2, '='), + AlignmentAnchor(3, 3, 'X'), + AlignmentAnchor(4, 4, '='), + AlignmentAnchor(5, 5, 'X'), + AlignmentAnchor(7, 7, '='), + AlignmentAnchor(8, 8, 'X'), + AlignmentAnchor(9, 9, '='), + AlignmentAnchor(10, 10, 'X'), + AlignmentAnchor(14, 14, '='), + AlignmentAnchor(16, 16, 'X'), + AlignmentAnchor(17, 17, '=')] +``` + +### Distances.jl method + +Another package that calculates the Hamming distance is the [Distances package](https://github.com/JuliaStats/Distances.jl). +We can call its `hamming` function on our two test sequences: + +```julia +using Distances + +Distances.hamming(ex_seq_a, ex_seq_b) # 7 +``` + +## Benchmarking + +Let's test to see which method is the most efficient! + +```julia +using BenchmarkTools +using BioSequences + +testseq1 = string(randdnaseq(100_000)) +testseq2 = string(randdnaseq(100_000)) + +@benchmark hamming($testseq1, $testseq2) +@benchmark BioAlignments.hamming_distance(Int64, $testseq1, $testseq2) +@benchmark Distances.hamming($testseq1, $testseq2) +``` + +The BioAlignments method takes up a much larger amount of memory, +and nearly three times as long to run. +However, it also generates an `AlignmentAnchor` data structure each time the function is called, +so this is not a fair comparison. +The `Distances` package is the winner here, which makes sense, +as it uses a vectorized approach. diff --git a/rosalind/index.md b/rosalind/index.md new file mode 100644 index 0000000..5ad52db --- /dev/null +++ b/rosalind/index.md @@ -0,0 +1,27 @@ ++++ +using Dates +date = Date("2026-01-07") +title = "Getting Started with Rosalind.info Problems" ++++ + +# 🧑‍🔬 Getting Started with Rosalind.info Problems + +If you're just learning bioinformatics, +or diving into a new programming language with an interest in biology, +[Rosalind.info](https://rosalind.info/) is a fantastic resource! +It has a series of problems that get progressively harder, +and introduce different concepts. + +These tutorials will take you through how to solve many of the problems, +both using functionality from the Base Julia language, +as well as using functionality from the BioJulia family of packages. + +Once you've signed up for an account at rosalind.info, come on back here, +and we'll get started! + +1. [Problem 1: Counting DNA Nucleotides](/rosalind/01-dna) +2. [Problem 2: Transcription](/rosalind/02-rna) +3. [Problem 3: Reverse Complement](/rosalind/03-revc) +4. [Problem 4: Rabbits and Recurrence Relations](/rosalind/04-fib) +5. [Problem 5: Computing GC Content](/rosalind/05-gc) +6. [Problem 6: Counting Point Mutations](/rosalind/06-hamm) diff --git a/src/BioTutorials.jl b/src/BioTutorials.jl deleted file mode 100644 index 693a4e5..0000000 --- a/src/BioTutorials.jl +++ /dev/null @@ -1,17 +0,0 @@ -module BioTutorials - -function build(dir) - isdir(dir) || throw(ArgumentError("Provide path to directory with tutorial file")) - files = filter(f-> splitext(f)[2] == ".jl", readdir(dir; join=true)) - file = length(files) == 1 ? first(files) : throw(ArgumentError("Tutorial directory must have exactly one .jl file")) - - c = Cmd([ - "julia", "--project=@.", "-e", - """ - using Literate; using Pkg; Pkg.activate("$dir"); Pkg.instantiate(); Literate.notebook("$file", "$dir") - """ - ]) - run(c) -end - -end \ No newline at end of file diff --git a/test/runtests.jl b/test/runtests.jl deleted file mode 100644 index e69de29..0000000 diff --git a/utils.jl b/utils.jl new file mode 100644 index 0000000..2e4c03e --- /dev/null +++ b/utils.jl @@ -0,0 +1,123 @@ +import Literate +using Dates +using Literate +import Hyperscript as HS + +node = HS.m + +# March 5, 2019 +dfmt(d) = Dates.format(d, "U d, yyyy") + +function hfun_dfmt(p::Vector{String}) + d = getlvar(Symbol(p[1])) + return dfmt(d) +end + +# =============================================== +# Logic to show the list of tags for a page +# =============================================== + +function hfun_page_tags() + tags = get_page_tags() + base = globvar(:tags_prefix) + return join( + ( + node("span", class="tag", + node("a", href="/$base/$id/", name) + ) + for (id, name) in tags + ), + node("span", class="separator", "•") + ) +end + +# =============================================== +# Logic to show the list of tags for a page +# =============================================== + +function hfun_taglist() + return hfun_list_posts(getlvar(:tag_name)) +end + +# =============================================== +# Logic to retrieve posts in posts/ and display +# them as a list sorted by anti-chronological +# order. +# +# Assumes that 'date' and 'title' are defined for +# all posts. +# =============================================== + +function hfun_list_posts(t::String) + posts = get_posts(t) + parts = String[] + for p in posts + push!(parts, string( + node("article", class="post-preview", + node("h2", node("a", href=p.href, p.title)), + isempty(p.description) ? "" : node("p", class="description", p.description), + node("p", class="post-meta", + p.author, + " · ", + Dates.format(p.date, "u d, yyyy"), + " · ", + "$(p.read_time) min read" + ) + ) + )) + end + return join(parts, "\n") +end +hfun_list_posts() = hfun_list_posts("") + +function estimate_read_time(filepath::String) + content = read(filepath, String) + # Remove frontmatter + m = match(r"^\+\+\+.*?\+\+\+"s, content) + if m !== nothing + content = content[length(m.match)+1:end] + end + # Remove code blocks and HTML for word count + content = replace(content, r"```.*?```"s => "") + content = replace(content, r"~~~.*?~~~"s => "") + content = replace(content, r"<[^>]+>" => "") + words = length(split(content)) + # Assume 200 words per minute reading speed + return max(1, round(Int, words / 200)) +end + +function get_posts(t::String, basepath::String="./") + # find all valid "posts/xxx.md" files, exclude the index which is where + # the post-list gets placed + paths = String[] + for (root, dirs, files) in walkdir(basepath) + filter!(p -> endswith(p, ".md") && p ∉ ("index.md","404.md","config.md","README.md","CLAUDE.md"), files) + append!(paths, joinpath.(root, files)) + end + # for each of those posts, retrieve date and title, both are expected + # to be there + posts = [ + let rp_clean = String(lstrip(rp, ['.', '/'])) + rss_desc = getvarfrom(:rss_descr, rp_clean) + desc = (rss_desc !== nothing && rss_desc isa String) ? rss_desc : "" + (; + date = getvarfrom(:date, rp_clean), + title = getvarfrom(:title, rp_clean), + author = something(getvarfrom(:author, rp_clean), ""), + description = desc, + href = "/$(splitext(rp_clean)[1])", + tags = get_page_tags(rp_clean), + read_time = estimate_read_time(rp_clean) + ) + end + for rp in paths + ] + sort!(posts, by = x -> x.date, rev=true) + if !isempty(t) + filter!( + p -> t in values(p.tags), + posts + ) + end + return posts +end From 4f51a65bfefb08436078f1862631c2f95893ca98 Mon Sep 17 00:00:00 2001 From: Kevin Bonham Date: Wed, 18 Feb 2026 15:04:06 -0500 Subject: [PATCH 2/3] Fix header --- _assets/apple-touch-icon.png | Bin 0 -> 4097 bytes _assets/biojulia-logo-dark-svgomg.svg | 228 +++++++++++++++++++++++++ _assets/biojulia-logo-light-svgomg.png | Bin 0 -> 9785 bytes _assets/biojulia-logo-light-svgomg.svg | 36 ++++ _assets/biojulia-logo1.png | Bin 0 -> 27227 bytes _assets/favicon.ico | Bin 0 -> 38078 bytes _assets/favicon.png | Bin 0 -> 4097 bytes _assets/hamburger.svg | 1 + _assets/rndimg.jpg | Bin 0 -> 18569 bytes _assets/sticker.svg | 26 +++ _layout/header.html | 33 +++- 11 files changed, 320 insertions(+), 4 deletions(-) create mode 100644 _assets/apple-touch-icon.png create mode 100644 _assets/biojulia-logo-dark-svgomg.svg create mode 100644 _assets/biojulia-logo-light-svgomg.png create mode 100644 _assets/biojulia-logo-light-svgomg.svg create mode 100644 _assets/biojulia-logo1.png create mode 100644 _assets/favicon.ico create mode 100644 _assets/favicon.png create mode 100644 _assets/hamburger.svg 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