The value of position-specific priors in motif discovery using MEME

@inproceedings{Bailey2010TheVO,
  title={The value of position-specific priors in motif discovery using MEME},
  author={Timothy L. Bailey and Mikael Bod{\'e}n and Tom Whitington and Philip Machanick},
  booktitle={BMC Bioinformatics},
  year={2010}
}
Position-specific priors have been shown to be a flexible and elegant way to extend the power of Gibbs sampler-based motif discovery algorithms. Information of many types–including sequence conservation, nucleosome positioning, and negative examples–can be converted into a prior over the location of motif sites, which then guides the sequence motif discovery algorithm. This approach has been shown to confer many of the benefits of conservation-based and discriminative motif discovery approaches… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 159 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 45 extracted citations

160 Citations

0204060'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 160 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 25 references

Motif Enrichment Analysis : A unified framework and method evaluation

  • RC McLeay, TL Bailey
  • BMC Bioinformatics
  • 2010

TL: Motif Enrichment Analysis: A unified framework and method evaluation

  • RC McLeay, Bailey
  • BMC Bioinformatics
  • 2010
1 Excerpt

Similar Papers

Loading similar papers…