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They are involved in diverse biological processes like virulence, stress response and quorum sensing. Several high-throughput techniques have enabled identification of sRNAs in bacteria, but experimental detection remains a challenge and grossly incomplete for most species. Thus, there is a need to develop computational tools to predict bacterial sRNAs. Here, we propose a computational method to identify sRNAs in bacteria using support vector machine (SVM) classifier. The primary sequence and secondary structure features of experimentally-validated sRNAs of <jats:italic>Salmonella<\/jats:italic> Typhimurium LT2 (SLT2) was used to build the optimal SVM model. We found that a tri-nucleotide composition feature of sRNAs achieved an accuracy of 88.35% for SLT2. We validated the SVM model also on the experimentally-detected sRNAs of <jats:italic>E. coli<\/jats:italic> and <jats:italic>Salmonella<\/jats:italic> Typhi. The proposed model had robustly attained an accuracy of 81.25% and 88.82% for <jats:italic>E. coli<\/jats:italic> K-12 and <jats:italic>S<\/jats:italic>. Typhi Ty2, respectively. We confirmed that this method significantly improved the identification of sRNAs in bacteria. Furthermore, we used a sliding window-based method and identified sRNAs from complete genomes of SLT2, <jats:italic>S<\/jats:italic>. Typhi Ty2 and <jats:italic>E. coli<\/jats:italic> K-12 with sensitivities of 89.09%, 83.33% and 67.39%, respectively.<\/jats:p>","DOI":"10.1038\/srep46070","type":"journal-article","created":{"date-parts":[[2017,4,6]],"date-time":"2017-04-06T12:43:39Z","timestamp":1491482619000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["An improved method for identification of small non-coding RNAs in bacteria using support vector machine"],"prefix":"10.1038","volume":"7","author":[{"given":"Ranjan Kumar","family":"Barman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anirban","family":"Mukhopadhyay","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santasabuj","family":"Das","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,4,6]]},"reference":[{"key":"BFsrep46070_CR1","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1038\/35103511","volume":"2","author":"SR Eddy","year":"2001","unstructured":"Eddy, S. 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