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Assessing computational tools for the discovery of small RNA genes in bacteria

By Xiaojun Lu, Heidi Goodrich-Blair and Brian Tjaden

Abstract

Over the past decade, a number of biocomputational tools have been developed to predict small RNA (sRNA) genes in bacterial genomes. In this study, several of the leading biocomputational tools, which use different methodologies, were investigated. The performance of the tools, both individually and in combination, was evaluated on ten sets of benchmark data, including data from a novel RNA-seq experiment conducted in this study. The results of this study offer insight into the utility as well as the limitations of the leading biocomputational tools for sRNA identification and provide practical guidance for users of the tools

Topics: Bioinformatics
Publisher: Cold Spring Harbor Laboratory Press
OAI identifier: oai:pubmedcentral.nih.gov:3162329
Provided by: PubMed Central
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