Evidence-ranked motif identification.

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2010

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Abstract

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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10.1186/gb-2010-11-2-r19

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Georgiev, S, AP Boyle, K Jayasurya, X Ding, Sayan Mukherjee and Uwe Ohler (2010). Evidence-ranked motif identification. Genome Biol, 11(2). p. R19. 10.1186/gb-2010-11-2-r19 Retrieved from https://hdl.handle.net/10161/10579.

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