Skip to main content

Useful library to deal with mapped reads in sorted BAM format.

Project description

[![Build Status](https://travis-ci.org/fidelram/deepTools.svg?branch=master)](https://travis-ci.org/fidelram/deepTools) [![Documentation Status](https://readthedocs.org/projects/deeptools/badge/)](http://deeptools.readthedocs.org/) [![PyPI version](https://badge.fury.io/py/deeptools.svg)](https://badge.fury.io/py/deeptools) [![bioconda-badge](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat-square)](http://bioconda.github.io)

### user-friendly tools for the normalization and visualization of deep-sequencing data

deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. To do so, deepTools contains useful modules to process the mapped reads data to create coverage files in standard bedGraph and bigWig file formats. By doing so, deepTools allows the creation of normalized coverage files or the comparison between two files (for example, treatment and control). Finally, using such normalized and standardized files, multiple visualizations can be created to identify enrichments with functional annotations of the genome.

For support, questions, or feature requests contact: deeptools@googlegroups.com

For full documentation see: http://deeptools.readthedocs.org

Project details


Download files

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

Files for deepTools, version 2.0.1
Filename, size File type Python version Upload date Hashes
Filename, size deepTools-2.0.1.0.tar.gz (912.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page