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Predicting chromatin organization using histone marks
- Source :
- Genome Biology
- Publication Year :
- 2015
-
Abstract
- Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization. Electronic supplementary material The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users.
- Subjects :
- Genetics
0303 health sciences
Chromatin Immunoprecipitation
Method
High-Throughput Nucleotide Sequencing
Computational biology
Sequence Analysis, DNA
Biology
Regulatory Sequences, Nucleic Acid
Research Highlight
Chromatin
Cell Line
Histone Code
03 medical and health sciences
0302 clinical medicine
Histone
biology.protein
Histone code
Humans
Computer Simulation
Chromatin immunoprecipitation
030217 neurology & neurosurgery
030304 developmental biology
Subjects
Details
- ISSN :
- 1474760X
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Genome biology
- Accession number :
- edsair.doi.dedup.....1a0b86a0926d2eb845cec141ea17f8f0