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Vladimir Suvorov

dblp:153/3874 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
assembly quality assessment
0.212016
rnaQUAST: a quality assessment tool for de novo transcriptome assemblies · Bioinform. 2016
Bioinformatics and computational biology › sequence analysis › sequence assembly
transcriptome assembly
0.212016
rnaQUAST: a quality assessment tool for de novo transcriptome assemblies · Bioinform. 2016
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.112016
rnaQUAST: a quality assessment tool for de novo transcriptome assemblies · Bioinform. 2016

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

quality metrics · 0.2benchmarking · 0.2
YearPublicationVenuePosition
2016 rnaQUAST: a quality assessment tool for de novo transcriptome assemblies
abstract
UNLABELLED: Ability to generate large RNA-Seq datasets created a demand for both de novo and reference-based transcriptome assemblers. However, while many transcriptome assemblers are now available, there is still no unified quality assessment tool for RNA-Seq assemblies. We present rnaQUAST-a tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. rnaQUAST calculates various metrics that demonstrate completeness and correctness levels of the assembled transcripts, and outputs them in a user-friendly report. AVAILABILITY AND IMPLEMENTATION: rnaQUAST is implemented in Python and is freely available at http://bioinf.spbau.ru/en/rnaquast CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Elena Bushmanova, Dmitry Antipov, Alla L. Lapidus, Vladimir Suvorov, Andrey D. Prjibelski
Bioinform.4