Separating real motifs from their artifacts

@article{Blanchette2001SeparatingRM,
  title={Separating real motifs from their artifacts},
  author={Mathieu Blanchette and Saurabh Sinha},
  journal={Bioinformatics},
  year={2001},
  volume={17 Suppl 1},
  pages={S30-8}
}
The typical output of many computational methods to identify binding sites is a long list of motifs containing some real motifs (those most likely to correspond to the actual binding sites) along with a large number of random variations of these. We present a statistical method to separate real motifs from their artifacts. This produces a short list of high quality motifs that is sufficient to explain the over-representation of all motifs in the given sequences. Using synthetic data sets, we… CONTINUE READING

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