smyRNA: a novel Ab initio ncRNA gene finder.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 19415115.
- Also identified by DOI 10.1371/journal.pone.0005433 and PMC identifier 2673033.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
BACKGROUND: Non-coding RNAs (ncRNAs) have important functional roles in the cell: for example, they regulate gene expression by means of establishing stable joint structures with target mRNAs via complementary sequence motifs. Sequence motifs are also important determinants of the structure of ncRNAs. Although ncRNAs are abundant, discovering novel ncRNAs on genome sequences has proven to be a hard task; in particular past attempts for ab initio ncRNA search mostly failed with the exception of tools that can identify micro RNAs. METHODOLOGY/PRINCIPAL FINDINGS: We present a very general ab initio ncRNA gene finder that exploits differential distributions of sequence motifs between ncRNAs and background genome sequences. CONCLUSIONS/SIGNIFICANCE: Our method, once trained on a set of ncRNAs from a given species, can be applied to a genome sequences of other organisms to find not only ncRNAs homologous to those in the training set but also others that potentially belong to novel (and perhaps unknown) ncRNA families. AVAILABILITY: (http://compbio.cs.sfu.ca/taverna/smyrna).
Medical subject headings
- Computational Biology
- RNA, Untranslated