MultiQC just turned 8! eight years old! 🎂
Aggregate results from bioinformatics analyses across many samples into a single report
MultiQC searches a given directory for analysis logs and compiles a HTML report. It's a general use tool, perfect for summarising the output from numerous bioinformatics tools.
pip install multiqc # Install multiqc . # Run
Need a little more help? See the full installation instructions .
Example reports
MultiQC collects numerical stats from each module at the top the report, so that you can track how your data behaves as it proceeds through your analysis.
Ever spent ages collecting reports and wading through log file output?
Here's the answer to your frustrations...
Visualise statistics from your pipeline
MultiQC collects numerical stats from each module at the top the report, so that you can track how your data behaves as it proceeds through your analysis.
Plot all of your samples together
Visualizing your samples together allows detailed comparison, not possible by scanning one report after another.
Supports your favourite tools
MultiQC comes supports many common bioinformatics tools out of the box. If you're missing something, just create an issue on GitHub to request it - if you have an example log file it's usually pretty fast.
Extensible and documented
Want to use this to do something fancy? MultiQC is structured to allow easy extension and customisation with plugin hooks, a submodule framework and simple templating. Everything is well documented, with step by step instructions for writing your new tool.
Simple installation
Search any directory
View report in a web browser
Zip file for easy sharing
Extensible & well documented
Install from the Python Package Index or Bioconda
To install MultiQC, simply run
pip install multiqc
on the command line.
If you use conda, you can run
conda install multiqc
instead.
See the installation instructions for more help.