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Evgenia V. Kriventseva

dblp:05/3929 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0003-4835-7562ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 4

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
3 papers
Bioinformatics and computational biology · 97% Computational science and engineering · 3%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
assembly quality assessment
0.212015
BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs · Bioinform. 2015
Bioinformatics and computational biology
genome annotation
0.212015
BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs · Bioinform. 2015
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.212015
BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs · Bioinform. 2015
Bioinformatics and computational biology
comparative genomics
0.012002
Interactive InterPro-based comparisons of proteins in whole genomes · Bioinform. 2002
Bioinformatics and computational biology › proteomics
proteome comparison
0.012002
Interactive InterPro-based comparisons of proteins in whole genomes · Bioinform. 2002
Computational science and engineering
benchmark dataset
0.012000
A collection of well characterised integral membrane proteins · Bioinform. 2000
Bioinformatics and computational biology
protein structure prediction
0.012000
A collection of well characterised integral membrane proteins · Bioinform. 2000
Bioinformatics and computational biology › protein structure prediction › membrane protein structure prediction › transmembrane topology prediction
transmembrane helix prediction
0.012000
A collection of well characterised integral membrane proteins · Bioinform. 2000

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

single-copy ortholog analysis · 0.2interpro analysis · 0.0
YearPublicationVenuePosition
2015 BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs
abstract
MOTIVATION: Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50. RESULTS: We propose a measure for quantitative assessment of genome assembly and annotation completeness based on evolutionarily informed expectations of gene content. We implemented the assessment procedure in open-source software, with sets of Benchmarking Universal Single-Copy Orthologs, named BUSCO. AVAILABILITY AND IMPLEMENTATION: Software implemented in Python and datasets available for download from http://busco.ezlab.org. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Felipe A. Simão, Robert M. Waterhouse, Panagiotis Ioannidis 0001, Evgenia V. Kriventseva, Evgeny M. Zdobnov
Bioinform.4
2002 Applications of InterPro in Protein Annotation and Genome Analysis
abstract
The applications of InterPro span a range of biologically important areas that includes automatic annotation of protein sequences and genome analysis. In automatic annotation of protein sequences InterPro has been utilised to provide reliable characterisation of sequences, identifying them as candidates for functional annotation. Rules based on the InterPro characterisation are stored and operated through a database called RuleBase. RuleBase is used as the main tool in the sequence database group at the EBI to apply automatic annotation to unknown sequences. The annotated sequences are stored and distributed in the TrEMBL protein sequence database. InterPro also provides a means to carry out statistical and comparative analyses of whole genomes. In the Proteome Analysis Database, InterPro analyses have been combined with other analyses based on CluSTr, the Gene Ontology (GO) and structural information on the proteins.
Margaret Biswas, Joseph F. O'Rourke, Evelyn Camon, Gillian Fraser, Alexander Kanapin, Youla Karavidopoulou, Paul J. Kersey, Evgenia V. Kriventseva, Virginie Mittard, Nicola J. Mulder, Isabelle Phan, Florence Servant, Rolf Apweiler
Briefings Bioinform.8
2002 Interactive InterPro-based comparisons of proteins in whole genomes
abstract
Abstract Motivation: The SWISS-PROT group at the EBI has developed the Proteome Analysis Database utilizing existing resources and providing comprehensive and integrated comparative analysis of the predicted protein coding sequencesof the complete genomes of bacteria, archaea and eukaryotes. The Proteome Analysis Database is accompanied by a program that has been designed to carry out interactive InterPro proteome comparisons for any one proteome against any other one or more of the proteomes in the database. Availability: http://www.ebi.ac.uk/proteome/comparisons.html Contact: [email protected]; [email protected] * To whom all correspondence should be addressed.
Alexander Kanapin, Rolf Apweiler, Margaret Biswas, Wolfgang Fleischmann, Youla Karavidopoulou, Paul J. Kersey, Evgenia V. Kriventseva, Virginie Mittard, Nicola J. Mulder, Thomas M. Oinn, Isabelle Phan, Florence Servant, Evgeny M. Zdobnov
Bioinform.7
2000 A collection of well characterised integral membrane proteins
abstract
Abstract Summary: A collection of transmembrane proteins with annotated transmembrane regions, for which good experimental evidence exist, was created as a test or training set for algorithms to predict transmembrane regions in proteins. Availability: ftp://ftp.ebi.ac.uk/databases/testsets/transmembrane Contact: [email protected]
Steffen Möller, Evgenia V. Kriventseva, Rolf Apweiler
Bioinform.2