Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

pyDNase | A method for the identification of digital genomic footprints from DNase-seq data

Allows users to analyse DNase-seq data. pyDNase is a suite of tools that provide several algorithms, including Wellington, a method for pairwise analysis of DNase-seq data sets, Wellington 1D, and Wellington-boostrap foot-printing. It also offers an integrated API to provide an interface with a sorted and indexed BAM file from a DNase-seq experiment. This allows an efficient and easy random access to DNase-seq cutting data from any genomic location.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

pyDNase forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

pyDNase classification

pyDNase specifications

Unique identifier:
Command line interface, Application programming interface
Operating system:
Unix/Linux, Mac OS
GNU General Public License version 3.0
Software type:
Restrictions to use:
Programming languages:
Computer skills:


  • Wellington

pyDNase distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.


pyDNase support



  • Jason Piper <>
  • Peter Cockerill <>
  • Constanze Bonifer <>
  • Sascha Ott <>

Additional information


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Warwick Systems Biology Centre, University of Warwick, Coventry, UK; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, UK; Department of Computer Science, University of Warwick, Coventry, UK

Funding source(s)

Partly supported by the Engineering and Physical Sciences Research Council (EP/P50578X/1 PhD grant) and grants from Leukaemia Lymphoma Research and the Kay Kendall Leukaemia Fund.

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.