| Literature DB >> 22057161 |
Abstract
SUMMARY: Increasing number of ChIP-seq experiments are investigating transcription factor binding under multiple experimental conditions, for example, various treatment conditions, several distinct time points and different treatment dosage levels. Hence, identifying differential binding sites across multiple conditions is of practical importance in biological and medical research. To this end, we have developed a powerful and flexible program, called DBChIP, to detect differentially bound sharp binding sites across multiple conditions, with or without matching control samples. By assigning uncertainty measure to the putative differential binding sites, DBChIP facilitates downstream analysis. DBChIP is implemented in R programming language and can work with a wide range of sequencing file formats. AVAILABILITY: R package DBChIP is available at http://pages.cs.wisc.edu/~kliang/DBChIP/ CONTACT: kliang@stat.wisc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Mesh:
Substances:
Year: 2011 PMID: 22057161 PMCID: PMC3244766 DOI: 10.1093/bioinformatics/btr605
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937