By Topic

Entropy-based analysis of ChIP-Sequencing data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zare, H. ; Dept. of ECE, Univ. of Minnesota, Minneapolis, MN, USA ; Kaveh, Mostafa ; Khodursky, A.B.

ChIP-Sequencing (ChIP-Seq) is an advanced emerging technology to detect protein-DNA associations and to identify transcription factor binding sites. This technology, which is an alternative to the ChIP-on-chip technique, provides several advantages including data with higher resolution and quality. In this paper we present a framework for the analysis of ChIP-Seq data in order to identify targets of a transcription factor and its binding sites. The introduced method employs the relative entropy measure to identify candidate binding regions with high affinity in the genome and then applies a peak-finding algorithm to locate the local peak(s) within each region. We have applied this method to analyze chromosomal binding patterns of Lrp, a global transcriptional regulator of amino acid metabolism in Escherichia coli.

Published in:

Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on

Date of Conference:

17-21 May 2009