Unsupervised pattern discovery in human chromatin structure through genomic segmentation.
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ABSTRACT:
SUBMITTER: Hoffman MM
PROVIDER: S-EPMC3340533 | biostudies-literature | 2012 Mar
REPOSITORIES: biostudies-literature
Publications
Unsupervised pattern discovery in human chromatin structure through genomic segmentation.
Hoffman Michael M MM Buske Orion J OJ Wang Jie J Weng Zhiping Z Bilmes Jeff A JA Noble William Stafford WS
Nature methods 20120318 5
We trained Segway, a dynamic Bayesian network method, simultaneously on chromatin data from multiple experiments, including positions of histone modifications, transcription-factor binding and open chromatin, all derived from a human chronic myeloid leukemia cell line. In an unsupervised fashion, we identified patterns associated with transcription start sites, gene ends, enhancers, transcriptional regulator CTCF-binding regions and repressed regions. Software and genome browser tracks are at ht ...[more]
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