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

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 kn...

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Detalles Bibliográficos
Autores principales: Tran, Thao T., Zhou, Fengfeng, Marshburn, Sarah, Stead, Mark, Kushner, Sidney R., Xu, Ying
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773258/
https://www.ncbi.nlm.nih.gov/pubmed/19744996
http://dx.doi.org/10.1093/bioinformatics/btp537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773258/
https://www.ncbi.nlm.nih.gov/pubmed/19744996
http://dx.doi.org/10.1093/bioinformatics/btp537

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