SortMeRNA 2: ribosomal RNA classification for taxonomic assignation

作者: Hélène Touzet , Mikaël Salson , Laurent Noé , Evguenia Kopylova , Pierre Pericard

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摘要: We have developed SortMeRNA, a software designed to filter ribosomal reads from metatranscriptomic or metagenomic data. It is capable of handling large data sets and sorting out all fragments matching database annotated RNA sequences the three-domain system with high sensitivity low running time. propose new version, SortMeRNA2, extended functionalities for improved analysis. Most importantly, it can now perform sequence alignments any database, which allows user study taxonomic content microbial sample. For that, we an alignment strategy based on approximate seeds seed extension using variant Longest Increasing Subsequence. SortMeRNA2 also applies statistical analysis evaluate significance alignment, E-value, confers great accuracy program.

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