Tools to process and analyze deep sequencing data.
deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. deepTools contains useful modules to process the mapped reads data for multiple quality checks, creating normalized coverage files in standard bedGraph and bigWig file formats, that allow comparison between different files (for example, treatment and control). Finally, using such normalized and standardized files, deepTools can create many publication-ready visualizations to identify enrichments and for functional annotations of the genome.
Ramírez F, Ryan DP, Grüning B, Bhardwaj V, Kilpert F, Richter AS, Heyne S, Dündar F, Manke T. deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Research. 2016 Apr 13:gkw257.
For more specific troubleshooting, feedback, and tool suggestions, please post to Biostars.
deepTools are available for:
There are many easy ways to install deepTools. Details can be found here
Install by cloning this repository:
You can install any one of the deepTools branches on command line (linux/mac) by cloning this git repository :
$ git clone https://github.com/deeptools/deepTools $ cd deepTools $ python setup.py install
By default, the script will install the python library and executable codes globally, which means you need to be root or administrator of the machine to complete the installation. If you need to provide a nonstandard install prefix, or any other nonstandard options, you can provide many command line options to the install script.
$ python setup.py --help
For example, to install under a specific location use:
$ python setup.py install --prefix
To install into your home directory, use:
$ python setup.py install --user
Note: From version 2.3 onwards, deepTools support python3.
This tool suite is developed by the Bioinformatics Facility at the Max Planck Institute for Immunobiology and Epigenetics, Freiburg.