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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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| Опубликовано в: : | Acta Biochim Biophys Sin (Shanghai) |
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| Главные авторы: | , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2016
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| Предметы: | |
| Online-ссылка: | 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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