Create aggregate bioinformatics analysis reports across many samples and tools
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 SciLifeLab Sweden (http://www.scilifelab.se)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file multiqc-1.7.tar.gz.
File metadata
- Download URL: multiqc-1.7.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.2 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/2.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 02e6a7fac7cd9ed036dcc6c92b8f8bcacbd28983ba6be53afb35e08868bd2d68 |
|
| MD5 | 2bb002028d8e4dbb1383d6d60d342080 |
|
| BLAKE2b-256 | 6bc7817d8ef024866e00625d94bbfa26e7a4131eedc166b3d65d7f54ebc90ed6 |
