Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


German Conference on Bioinformatics P-136, 116-127 (2008).

Gesellschaft für Informatik, Bonn
2008


Editors

Andreas Beyer (ed.), Michael Schroeder (ed.)


Copyright © Gesellschaft für Informatik, Bonn

Contents

Utilizing promoter pair orientations for HMM-based analysis of chip-chip data

Michael Seifert , Jens Keilwagen , Marc Strickert and Ivo Grosse

Abstract


Array-based analysis of chromatin immunoprecipitation data (ChIP-chip) is a powerful technique for identifying DNA target regions of individual transcription factors. Here, we present three approaches, a standard log-fold-change analysis (LFC), a basic method based on a Hidden Markov Model (HMM), and an extension of the HMM approach to an HMM with scaled transition matrices (SHMM) to incorporate different promoter pair orientations. We compare the prediction of ABI3 target genes for the three methods and evaluate these genes using Genevestigator expression profiles and transient assays. We find that the application of the SHMM leads to a superior identification of ABI3 target genes. The software and the ChIP-chip data set used in our case study can be downloaded from http://dig.ipkgatersleben.de/SHMMs/ChIPchip/ChIPchip.html.


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-226-0


Last changed 04.10.2013 18:19:03