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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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| Pubblicato in: | Acta Biochim Biophys Sin (Shanghai) |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2016
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| Soggetti: | |
| Accesso online: | 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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