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

Evguenia Kopylova | Zendy; Laurent Noé | Zendy; Hélène Touzet | Zendy

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

Author(s) -

Evguenia Kopylova,

Laurent Noé,

Hélène Touzet

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts611

Subject(s) - ribosomal rna , computational biology , biology , rna , coding (social sciences) , computer science , gene , genetics , statistics , mathematics

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.

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