An in silico model for identification of small RNAs in whole bacterial genomes: characterization of antisense RNAs in pathogenic Escherichia coli and Streptococcus agalactiae strains

Characterization of small non-coding ribonucleic acids (sRNA) among the large volume of data generated by high-throughput RNA-seq or tiling microarray analyses remains a challenge. Thus, there is still a need for accurate in silico prediction methods to identify sRNAs within a given bacterial specie...

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Detalles Bibliográficos
Autores principales: Pichon, Christophe, du Merle, Laurence, Caliot, Marie Elise, Trieu-Cuot, Patrick, Le Bouguénec, Chantal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326304/
https://www.ncbi.nlm.nih.gov/pubmed/22139924
http://dx.doi.org/10.1093/nar/gkr1141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326304/
https://www.ncbi.nlm.nih.gov/pubmed/22139924
http://dx.doi.org/10.1093/nar/gkr1141

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