Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models

Hans-Ulrich Klein, Martin Schäfer, Bo T Porse, Marie S Hasemann, Katja Ickstadt, Martin Dugas

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

29 Citationer (Scopus)

Abstract

Histone modifications are a key epigenetic mechanism to activate or repress the transcription of genes. Datasets of matched transcription data and histone modification data obtained by ChIP-seq exist, but methods for integrative analysis of both data types are still rare. Here, we present a novel bioinformatics approach to detect genes that show different transcript abundances between two conditions putatively caused by alterations in histone modification.
OriginalsprogEngelsk
TidsskriftBioinformatics
ISSN1367-4803
DOI
StatusUdgivet - 22 jan. 2014

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