An automated approach for global identification of sRNA-encoding regions in RNA-Seq data from Mycobacterium tuberculosis

Deep-sequencing of bacterial transcriptomes using RNA-Seq technology has made it possible to identify small non-coding RNAs, RNA molecules which regulate gene expression in response to changing environments, on a genome-wide scale in an ever-increasing range of prokaryotes. However, a simple and rel...

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Détails bibliographiques
Publié dans:Acta Biochim Biophys Sin (Shanghai)
Auteurs principaux: Wang, Ming, Fleming, Joy, Li, Zihui, Li, Chuanyou, Zhang, Hongtai, Xue, Yunxin, Chen, Maoshan, Zhang, Zongde, Zhang, Xian-En, Bi, Lijun
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2016
Sujets:
Original Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4913526/
https://ncbi.nlm.nih.gov/pubmed/27174874
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/abbs/gmw037
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