This UMCCR fork+branch contains changes specific to umccrise

Aggregate bioinformatics results across many samples into a single report

Find documentation and example reports at http://multiqc.info

MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

A very large number of Bioinformatics tools are supported by MultiQC. Please see the MultiQC website for a complete list.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue (include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

bash pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

bash conda install -c bioconda multiqc

If you would like the development version instead, the command is:

bash pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

bash multiqc .

That's it! 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 also created in multiqc_data/, containing extra information. These can be easily inspected using Excel (use --data-format to get yaml or json instead).

For more detailed instructions, run multiqc -h or see the documentation.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

Citation

Please consider citing MultiQC if you use it in your analysis.

MultiQC: Summarize analysis results for multiple tools and samples in a single report.
Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

BibTeX @article{doi:10.1093/bioinformatics/btw354, author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, Max}, title = {MultiQC: summarize analysis results for multiple tools and samples in a single report}, journal = {Bioinformatics}, volume = {32}, number = {19}, pages = {3047}, year = {2016}, doi = {10.1093/bioinformatics/btw354}, URL = { + http://dx.doi.org/10.1093/bioinformatics/btw354}, eprint = {/oup/backfile/Content_public/Journal/bioinformatics/32/19/10.1093_bioinformatics_btw354/3/btw354.pdf} }

Contributions & Support

Contributions and suggestions for new features are welcome, as are bug reports! Please create a new issue for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.