Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models
Research output: Contribution to journal › Journal article › Research › peer-review
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.
Original language | English |
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Journal | Bioinformatics |
ISSN | 1367-4803 |
DOIs | |
Publication status | Published - 22 Jan 2014 |
ID: 107121777