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SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data

Open access
Kopylova, Evguenia, Noé, Laurent, Touzet, Hélène·2012·Bioinformatics

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 task to distinguish among these and to further categorize the families of messenger RNAs and ribosomal RNAs (rRNAs) 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 rRNA 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: http://bioinfo.lifl.fr/RNA/sortmerna Contact: evguenia.kopylova@lifl.fr Supplementary information: Supplementary data are available at Bioinformatics online.

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Metadata

Authors
Kopylova, E., Noé, L., & Touzet, H.
Venue
Bioinformatics
Published
2012-10-15
Volume
28
Issue
24
Pages
3211-3217
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2124799197
Cited by
3,111
References
2
FWCI
5.69
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. https://app.cochat.ai/papers/10.1093/bioinformatics/bts611
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Kopylova, E., Noé, L., & Touzet, H. (2012). SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics. https://doi.org/10.1093/bioinformatics/bts611

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