Package: multiqc
Version: 1.21+dfsg-4
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Installed-Size: 3975
Depends: fonts-glyphicons-halflings, libjs-bootstrap, libjs-jquery, libjs-jquery-tablesorter, libjs-jquery-ui, python3-click, python3-coloredlogs, python3-humanfriendly, python3-jinja2, python3-lzstring, python3-markdown, python3-matplotlib, python3-numpy, python3-requests, python3-rich, python3-spectra, python3-yaml, python3-humanize, python3-packaging, python3-pil, python3-plotly, python3-pyaml-env, python3-rich-click, python3:any
Recommends: libjs-filesaver, node-clipboard, pandoc, texlive-xetex
Enhances: adapterremoval, afterqc, bamtools, bbmap, bcftools, bcl2fastq, biobambam2, biobloomtools, biscuit, bismark, bowtie, bowtie2, busco, clipandmerge, clusterflow, conpair, cutadapt, damageprofiler, dedup, deeptools, disambiguate, dragen, fastp, fastq-screen, fastqc, featurecounts, fgbio, flash, flexbar, gatk, goleft-indexcov, happy, hicexplorer, hicpro, hicup, hisat2, homer, htseq, interop, ivar, jellyfish, kaiju, kallisto, kat, kraken, leehom, longranger, macs2, malt, methylqa, minionqc, mirtop, mirtrace, mosdepth, mtnucratio, multivcfanalyzer, peddy, phantompeakqualtools, picard-tools, preseq, prokka, pycoqc, qorts, qualimap, quast, rna-seqc, rna-star, rockhopper, rsem, rseqc, salmon, samblaster, samtools, sargasso, seqyclean, sexdeterrmine, sickle, skewer, slamdunk, snpeff, snpsplit, somalier, sortmerna, stacks, supernova, theta2, trimmomatic, varscan2, vcftools, verifybamid
Section: science
Priority: optional
Homepage: https://multiqc.info/
Description: output integration for RNA sequencing across tools and samples
 The sequencing of DNA or RNA with current high-throughput technologies
 involves an array of tools and these are applied over a range of samples.
 It is easy to loose oversight. And gathering the data and forwarding
 them in a readable manner to the individuals who took the samples is
 a challenge for a tool in itself. Well. Here it is.
 MultiQC aggregates the output of multiple tools into a single report.
 .
 Reports are generated by scanning given directories for recognised log
 files. These are parsed and a single HTML report is generated summarising
 the statistics for all logs found. MultiQC reports can describe multiple
 analysis steps and large numbers of samples within a single plot, and
 multiple analysis tools making it ideal for routine fast quality control.
