De novo computational prediction of non-coding RNA genes in prokaryotic genomes

@inproceedings{Tran2009DeNC,
  title={De novo computational prediction of non-coding RNA genes in prokaryotic genomes},
  author={Thao T. Tran and Fengfeng Zhou and Sarah Marshburn and Mark Stead and Sidney R. Kushner and Ying Xu},
  booktitle={Bioinformatics},
  year={2009}
}
MOTIVATION The computational identification of non-coding RNA (ncRNA) genes represents one of the most important and challenging problems in computational biology. Existing methods for ncRNA gene prediction rely mostly on homology information, thus limiting their applications to ncRNA genes with known homologues. RESULTS We present a novel de novo prediction algorithm for ncRNA genes using features derived from the sequences and structures of known ncRNA genes in comparison to decoys. Using… CONTINUE READING
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