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.
Originalsprog | Engelsk |
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Tidsskrift | Bioinformatics |
ISSN | 1367-4803 |
DOI | |
Status | Udgivet - 22 jan. 2014 |