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Evguenia Kopylova

dblp:31/11250 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
metatranscriptomics
0.112012
SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data · Bioinform. 2012
Bioinformatics and computational biology › sequence analysis
sequence classification
0.112012
SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data · Bioinform. 2012

Methods — techniques the papers use, named apart from their topics

sequence alignment · 0.1
YearPublicationVenuePosition
2012 SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data
abstract
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: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Evguenia Kopylova, Laurent Noé, Hélène Touzet
Bioinform.1