期刊
NATURE METHODS
卷 9, 期 5, 页码 473-U88出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1937
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资金
- National Human Genome Research Institute [004695, 004561, 006259]
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 http://noble.gs.washington.edu/proj/segway/.
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