SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data.
BACKGROUND
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.
LIFL (UMR CNRS 8022 Université Lille 1), France. evguenia.kopylova@lifl.fr
Evguenia
E
Kopylova
Laurent
L
Noé
Hélène
H
Touzet
D000465:Algorithms; D017753:Ecosystem; D020869:Gene Expression Profiling; D010802:Phylogeny; D012333:RNA, Messenger / Q000737:chemistry; D012335:RNA, Ribosomal / Q000096:biosynthesis / Q000737:chemistry* / Q000145:classification; D012336:RNA, Ribosomal, 16S / Q000737:chemistry; D017423:Sequence Analysis, RNA; D012984:Software
D012333:RNA, Messenger; D012335:RNA, Ribosomal; D012336:RNA, Ribosomal, 16S