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

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

  • PMC2872879

Electronic International Standard Serial Number (EISSN)

  • 1474-760X

Digital Object Identifier (DOI)

  • 10.1186/gb-2010-11-2-r19


  • eng

Conference Location

  • England