Evidence-ranked motif identification.
Journal Article (Journal Article)
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.
Full Text
- Published version (via Digital Object Identifier)
- Pubmed Central version
- Open Access Copy from Duke
- Link to Item
Duke Authors
Cited Authors
- Georgiev, S; Boyle, AP; Jayasurya, K; Ding, X; Mukherjee, S; Ohler, U
Published Date
- 2010
Published In
Volume / Issue
- 11 / 2
Start / End Page
- R19 -
PubMed ID
- 20156354
Pubmed Central ID
- 20156354
Electronic International Standard Serial Number (EISSN)
- 1474-760X
Digital Object Identifier (DOI)
- 10.1186/gb-2010-11-2-r19
Language
- eng
Conference Location
- England