Create aggregate bioinformatics analysis reports across many samples and tools

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  • License: GNU General Public License v3 (GPLv3) (GPLv3)
  • Author: Phil Ewels
  • Tags bioinformatics, biology, sequencing, NGS, next generation sequencing, quality control
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Project description

MultiQC is a tool to aggregate bioinformatics results across many samples into a single report. It is written in Python and contains modules for a large number of common bioinformatics tools.

You can install MultiQC from PyPI as follows:

pip install multiqc

Then it’s just a case of going to your analysis directory and running the script:

multiqc .

MultiQC will scan the specified directory ('.' is the current dir) and produce a report detailing whatever it finds.

The report is created in multiqc_report.html by default. Tab-delimited data files are created in multiqc_data/ to give easy access for downstream processing.

For more detailed instructions, run multiqc -h

See the MultiQC website for documentation and tutorial videos: http://multiqc.info

MultiQC was written by Phil Ewels (http://phil.ewels.co.uk) at Seqera Labs (https://seqera.io/), originally at SciLifeLab Sweden (http://www.scilifelab.se)

Project details

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Avatar for ewels from gravatar.com ewels

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Project links
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  • License: GNU General Public License v3 (GPLv3) (GPLv3)
  • Author: Phil Ewels
  • Tags bioinformatics, biology, sequencing, NGS, next generation sequencing, quality control
Classifiers

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1.25.2

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1.25

1.24.1

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1.23

1.22.3

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