Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Create aggregate bioinformatics analysis report across many samples

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 number of common tools (FastQC, Bowtie, Picard and many others).

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 or see the MultiQC website at http://multiqc.info

Project details


Release history Release notifications

History Node

1.5

History Node

1.4

History Node

1.3

History Node

1.2

History Node

1.1

History Node

1.0

History Node

0.9

History Node

0.8

History Node

0.7

History Node

0.6

History Node

0.5

History Node

0.4

History Node

0.3.2

This version
History Node

0.3.1

History Node

0.3.0

History Node

0.2.0

History Node

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
multiqc-0.3.1.tar.gz (852.8 kB) Copy SHA256 hash SHA256 Source None Nov 4, 2015

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page