期刊
GENOME BIOLOGY
卷 11, 期 2, 页码 -出版社
BMC
DOI: 10.1186/gb-2010-11-2-r19
关键词
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资金
- NIH [P50GM081883]
- NSF [MCB 0618304, DMS-0732260]
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P50GM081883] Funding Source: NIH RePORTER
cERMIT is a computationally efficient motif discovery tool based on analyzing genome-wide quantitative regulatory evidence. Instead of pre-selecting promising candidate sequences, it utilizes information across all sequence regions to search for high-scoring motifs. We apply cERMIT on a range of direct binding and overexpression datasets; it substantially outperforms state-of-the-art approaches on curated ChIP-chip datasets, and easily scales to current mammalian ChIP-seq experiments with data on thousands of non-coding regions.
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