ESPERR: learning strong and weak signals in genomic sequence alignments to identify functional elements.

@article{Taylor2006ESPERRLS,
  title={ESPERR: learning strong and weak signals in genomic sequence alignments to identify functional elements.},
  author={James Taylor and Svitlana Tyekucheva and D. C. King and Ross C. Hardison and Webb Miller and Francesca Chiaromonte},
  journal={Genome research},
  year={2006},
  volume={16 12},
  pages={1596-604}
}
Genomic sequence signals - such as base composition, presence of particular motifs, or evolutionary constraint - have been used effectively to identify functional elements. However, approaches based only on specific signals known to correlate with function can be quite limiting. When training data are available, application of computational learning algorithms to multispecies alignments has the potential to capture broader and more informative sequence and evolutionary patterns that better… CONTINUE READING

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