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

combined-pvalues comb-p

A command-line tool and a python library that manipulates BED files of possibly irregularly spaced P-values and (1) calculates auto-correlation, (2) combines adjacent P-values, (3) performs false discovery adjustment, (4) finds regions of enrichment (i.e. series of adjacent low P-values) and (5) assigns significance to those regions. In addition, tools are provided for visualization and assessment. The comb-p software is useful in contexts where auto-correlated P-values are generated across the genome. Because the library accepts input in a simple, standardized format and is unaffected by the origin of the P-values, it can be used for a wide variety of applications.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

comb-p forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

comb-p versioning

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.

No versioning.

comb-p classification

comb-p specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
License:
MIT License
Stability:
Stable

comb-p support

Documentation

Maintainer

  • Brent Pedersen <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

Department of Medicine, University of Colorado, Denver, Anschutz Medical Campus, Aurora, CO, USA; Department of Biostatistics and Informatics, University of Colorado, Denver, Anschutz Medical Campus, Aurora, CO, USA

Funding source(s)

The National Institutes of Health (AA016922, HL101251, AI90052 and HL101715)

Link to literature

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