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

ChIPseeqer

Enables broad and analysis of ChIP-seq data. ChIPseeqer is a comprehensive computational framework that includes: (1) gene-level annotation of peaks, (2) pathways enrichment analysis, (3) regulatory element analysis, using either a de novo approach, known or user-defined motifs, (4) nongenic peak annotation (repeats, CpG islands, duplications, published ChIP-seq datasets), (5) conservation analysis, (6) clustering analysis, (7) visualization tools, (8) integration and comparison across different ChIP-seq experiments.

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

0 user reviews

No review has been posted.

ChIPseeqer 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.

ChIPseeqer classification

ChIPseeqer specifications

Software type:
Application/Script
Restrictions to use:
None
License:
GNU General Public License version 3.0
Version:
2.0
Maintained:
Yes
Interface:
Command line interface, Graphical user interface
Operating system:
Unix/Linux, Mac OS
Computer skills:
Advanced
Stability:
Stable

ChIPseeqer distribution

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.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

download

ChIPseeqer support

Maintainer

  • Olivier Elemento <>

Additional information

http://icb.med.cornell.edu/wiki/index.php/Elementolab/ChIPseeqer_GUI http://icb.med.cornell.edu/wiki/index.php/Elementolab/ChIPseeqer_Tutorial

Credits

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

Publications

Institution(s)

HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA; Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA

Funding source(s)

Supported by the CAREER grant from National Science Foundation (DB1054964), as well as by startup funds from the Institute for Computational Biomedicine, Weill Cornell Medical College.

Link to literature

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