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path: root/nixpkgs/pkgs/by-name/fa/fastqc/package.nix
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{ lib,
  stdenv,
  fetchzip,
  jre,
  perl,
  makeWrapper,
  imagemagick,
  makeDesktopItem,
  copyDesktopItems,
  desktopToDarwinBundle,
  testers
}:

stdenv.mkDerivation (finalAttrs: {
  pname = "fastqc";
  version = "0.12.1";

  src = fetchzip {
    url = "https://www.bioinformatics.babraham.ac.uk/projects/fastqc/fastqc_v${finalAttrs.version}.zip";
    hash = "sha256-TenRG2x8ivJ2HM2ZpLaJShp0yI0Qc6K5lW5/NJFAa1I";
  };

  dontBuild = true;

  nativeBuildInputs = [ makeWrapper imagemagick ]
                      ++ lib.optional stdenv.isLinux copyDesktopItems # postInstallHook
                      ++ lib.optional stdenv.isDarwin desktopToDarwinBundle; #fixupOutputHook
  buildInputs = [ jre perl];

  desktopItem = (makeDesktopItem {
    name = "FastQC";
    exec = "fastqc";
    icon = "fastqc";
    desktopName = "FastQC";
    comment = finalAttrs.meta.description;
    categories = [ "Science" ];
  });
  desktopItems = [ finalAttrs.desktopItem ];

  installPhase = ''
    runHook preInstall

    mkdir -p $out/{bin,FastQC}
    cp -r $src/* $out/FastQC

    # Create desktop item
    mkdir -p $out/share/{applications,icons}
    # Freedesktop doesn't support windows ICO files. Use imagemagick to convert it to PNG
    convert $out/FastQC/fastqc_icon.ico $out/share/icons/fastqc.png

    runHook postInstall
  '';

  preFixup = ''
    makeWrapper $out/FastQC/fastqc $out/bin/fastqc --prefix PATH : ${jre}/bin
  '';

  passthru.tests.version = testers.testVersion {
    package = finalAttrs.finalPackage;
    version = "v${finalAttrs.version}";
  };

  meta = {
    description = "A quality control application for high throughput sequence data";
    longDescription = ''
    FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis.

    The main functions of FastQC are

    - Import of data from BAM, SAM or FastQ files (any variant)
    - Providing a quick overview to tell you in which areas there may be problems
    - Summary graphs and tables to quickly assess your data
    - Export of results to an HTML based permanent report
    - Offline operation to allow automated generation of reports without running the interactive application
    '';
    homepage = "https://www.bioinformatics.babraham.ac.uk/projects/fastqc/";
    sourceProvenance = [ lib.sourceTypes.binaryNativeCode ];
    license = with lib.licenses; [ gpl3Plus asl20 ];
    maintainers = [ lib.maintainers.dflores ];
    mainProgram = "fastqc";
    platforms = lib.platforms.unix;
  };
})