| Literature DB >> 19689956 |
Hyunjin Shin1, Tao Liu, Arjun K Manrai, X Shirley Liu.
Abstract
UNLABELLED: 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.Mesh:
Year: 2009 PMID: 19689956 DOI: 10.1093/bioinformatics/btp479
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937