Format

Send to

Choose Destination
Bioinformatics. 2011 Jul 1;27(13):1867-8. doi: 10.1093/bioinformatics/btr279. Epub 2011 May 5.

BINOCh: binding inference from nucleosome occupancy changes.

Author information

1
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA 02115, USA. cliff@jimmy.harvard.edu

Abstract

Transcription factor binding events are frequently associated with a pattern of nucleosome occupancy changes in which nucleosomes flanking the binding site increase in occupancy, while those in the vicinity of the binding site itself are displaced. Genome-wide information on enhancer proximal nucleosome occupancy can be readily acquired using ChIP-seq targeting enhancer-related histone modifications such as H3K4me2. Here, we present a software package, BINOCh that allows biologists to use such data to infer the identity of key transcription factors that regulate the response of a cell to a stimulus or determine a program of differentiation.

AVAILABILITY:

The BINOCh open source Python package is freely available at http://liulab.dfci.harvard.edu/BINOCh under the FreeBSD license.

PMID:
21551136
PMCID:
PMC3117357
DOI:
10.1093/bioinformatics/btr279
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center