Prediction of novel microRNA genes in cancer-associated genomic regions—a combined computational and experimental approach

The majority of existing computational tools rely on sequence homology and/or structural similarity to identify novel microRNA (miRNA) genes. Recently supervised algorithms are utilized to address this problem, taking into account sequence, structure and comparative genomics information. In most of...

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Detalles Bibliográficos
Autores principales: Oulas, Anastasis, Boutla, Alexandra, Gkirtzou, Katerina, Reczko, Martin, Kalantidis, Kriton, Poirazi, Panayiota
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691815/
https://www.ncbi.nlm.nih.gov/pubmed/19324892
http://dx.doi.org/10.1093/nar/gkp120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691815/
https://www.ncbi.nlm.nih.gov/pubmed/19324892
http://dx.doi.org/10.1093/nar/gkp120

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