Skip Navigation


Bioinformatics Advance Access originally published online on August 18, 2009
Bioinformatics 2009 25(19):2605-2606; doi:10.1093/bioinformatics/btp479
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow Supplementary Data
Right arrow All Versions of this Article:
25/19/2605    most recent
btp479v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Shin, H.
Right arrow Articles by Liu, X. S.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Shin, H.
Right arrow Articles by Liu, X. S.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

CEAS: cis-regulatory element annotation system

Hyunjin Shin 1, Tao Liu 1, Arjun K. Manrai 2 and X. Shirley Liu 1,*

1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 44 Binney St, Boston, MA 02115 and 2Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA

*To whom correspondence should be addressed.


   Abstract

Summary: We present a tool designed to characterize genome-wide protein–DNA interaction patterns from ChIP-chip and ChIP-Seq data. This stand-alone extension of our web application CEAS (cis-regulatory element annotation system) provides summary statistics on ChIP enrichment in important genomic regions such as individual chromosomes, promoters, gene bodies or exons, and infers the genes most likely to be regulated by the binding factor under study. CEAS also enables biologists to visualize the average ChIP enrichment signals over specific genomic regions, particularly allowing observation of continuous and broad ChIP enrichment that might be too subtle to detect from ChIP peaks alone.

Availability: The CEAS Python package is publicly available at http://liulab.dfci.harvard.edu/CEAS.

Contact: shin{at}jimmy.harvard.edu; xsliu{at}jimmy.harvard.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Joaquin Dopazo


Received on May 16, 2009; revised on July 8, 2009; accepted on August 3, 2009

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.