SortMeRNA: Fast and accurate filtering of ribosomal RNAs in metatranscriptomic data.

Evguenia Kopylova 1, 2, * Laurent Noé 1, 2 Héléne Touzet 1, 2
* Auteur correspondant
1 BONSAI - Bioinformatics and Sequence Analysis
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : MOTIVATION: The application of Next-Generation Sequencing (NGS) technologies to RNAs directly extracted from a community of organisms yields a mixture of fragments characterizing both coding and non-coding types of RNAs. The tasks to distinguish among these and to further categorize the families of messenger RNAs and ribosomal RNAs is an important step for examining gene expression patterns of an interactive environment and the phylogenetic classification of the constituting species. RESULTS: We present SortMeRNA, a new software designed to rapidly filter ribosomal RNA fragments from metatranscriptomic data. It is capable of handling large sets of reads and sorting out all fragments matching to the rRNA database with high sensitivity and low running time. AVAILABILITY: CONTACT: SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Dernière modification le : jeudi 11 janvier 2018 - 06:23:37
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Evguenia Kopylova, Laurent Noé, Héléne Touzet. SortMeRNA: Fast and accurate filtering of ribosomal RNAs in metatranscriptomic data.. Bioinformatics, Oxford University Press (OUP), 2012, 28 (24), pp.3211-3217. 〈〉. 〈10.1093/bioinformatics/bts611〉. 〈hal-00748990〉



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