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Dive into the research topics where Evgeni M. Zdobnov is active.

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Featured researches published by Evgeni M. Zdobnov.


Bioinformatics | 2001

InterProScan--an integration platform for the signature-recognition methods in InterPro.

Evgeni M. Zdobnov; Rolf Apweiler

UNLABELLED InterProScan is a tool that scans given protein sequences against the protein signatures of the InterPro member databases, currently--PROSITE, PRINTS, Pfam, ProDom and SMART. The number of signature databases and their associated scanning tools as well as the further refinement procedures make the problem complex. InterProScan is designed to be a scalable and extensible system with a robust internal architecture. AVAILABILITY The Perl-based InterProScan implementation is available from the EBI ftp server (ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/) and the SRS-basedInterProScan is available upon request. We provide the public web interface (http://www.ebi.ac.uk/interpro/scan.html) as well as email submission server ([email protected]).


Bioinformatics | 2002

The EBI SRS server—recent developments

Evgeni M. Zdobnov; Rodrigo Lopez; Rolf Apweiler; Thure Etzold

MOTIVATION The current data explosion is intractable without advanced data management systems. The numerous data sets become really useful when they are interconnected under a uniform interface--representing the domain knowledge. The SRS has become an integration system for both data retrieval and applications for data analysis. It provides capabilities to search multiple databases by shared attributes and to query across databases fast and efficiently. RESULTS Here we present recent developments at the EBI SRS server (http://srs.ebi.ac.uk). The EBI SRS server contains today more than 130 biological databases and integrates more than 10 applications. It is a central resource for molecular biology data as well as a reference server for the latest developments in data integration. One of the latest additions to the EBI SRS server is the InterPro database-Integrated Resource of Protein Domains and Functional Sites. Distributed in XML format it became a turning point in low level XML-SRS integration. We present InterProScan as an example of data analysis applications, describe some advanced features of SRS6, and introduce the SRSQuickSearch JavaScript interfaces to SRS.


Nucleic Acids Research | 2007

VectorBase: a home for invertebrate vectors of human pathogens

Daniel John Lawson; Peter Arensburger; Peter W. Atkinson; Nora J. Besansky; Robert V. Bruggner; Ryan Butler; Kathryn S. Campbell; George K. Christophides; Scott Christley; Emmanuel Dialynas; David B. Emmert; Martin Hammond; Catherine A. Hill; Ryan C. Kennedy; Neil F. Lobo; Robert M. MacCallum; Gregory R. Madey; Karine Megy; Seth Redmond; Susan Russo; David W. Severson; Eric O. Stinson; Pantelis Topalis; Evgeni M. Zdobnov; Ewan Birney; William M. Gelbart; Fotis C. Kafatos; Christos Louis; Frank H. Collins

VectorBase () is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes providing an integrated resource for the research community. Currently, VectorBase contains genome information for two organisms: Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever.


Nucleic Acids Research | 2001

CluSTr: a database of clusters of SWISS-PROT+TrEMBL proteins

Evgenia V. Kriventseva; Wolfgang Fleischmann; Evgeni M. Zdobnov; Rolf Apweiler

The CluSTr (Clusters of SWISS-PROT and TrEMBL proteins) database offers an automatic classification of SWISS-PROT and TrEMBL proteins into groups of related proteins. The clustering is based on analysis of all pairwise comparisons between protein sequences. Analysis has been carried out for different levels of protein similarity, yielding a hierarchical organisation of clusters. The database provides links to InterPro, which integrates information on protein families, domains and functional sites from PROSITE, PRINTS, Pfam and ProDom. Links to the InterPro graphical interface allow users to see at a glance whether proteins from the cluster share particular functional sites. CluSTr also provides cross-references to HSSP and PDB. The database is available for querying and browsing at http://www.ebi.ac.uk/clustr.


Nucleic Acids Research | 2001

Proteome Analysis Database: online application of InterPro and CluSTr for the functional classification of proteins in whole genomes

Rolf Apweiler; Margaret Biswas; Wolfgang Fleischmann; Alexander Kanapin; Youla Karavidopoulou; Paul J. Kersey; Evgenia V. Kriventseva; Virginie Mittard; Nicola Mulder; Isabelle Phan; Evgeni M. Zdobnov

The SWISS-PROT group at EBI has developed the Proteome Analysis Database utilising existing resources and providing comparative analysis of the predicted protein coding sequences of the complete genomes of bacteria, archaea and eukaryotes (http://www.ebi.ac. uk/proteome/). The two main projects used, InterPro and CluSTr, give a new perspective on families, domains and sites and cover 31-67% (InterPro statistics) of the proteins from each of the complete genomes. CluSTr covers the three complete eukaryotic genomes and the incomplete human genome data. The Proteome Analysis Database is accompanied by a program that has been designed to carry out InterPro proteome comparisons for any one proteome against any other one or more of the proteomes in the database.


Bioinformatics | 2002

Interactive InterPro-based comparisons of proteins in whole genomes

Alexander Kanapin; Rolf Apweiler; Margaret Biswas; Wolfgang Fleischmann; Youla Karavidopoulou; Paul J. Kersey; Evgenia V. Kriventseva; Virginie Mittard; Nicola Mulder; Tom Oinn; Isabelle Phan; Florence Servant; Evgeni M. Zdobnov

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 sequences of 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.


Nucleic Acids Research | 2001

The InterPro database, an integrated documentation resource for protein families, domains and functional sites

Rolf Apweiler; Terri K. Attwood; Amos Marc Bairoch; Alex Bateman; Ewan Birney; Margaret Biswas; Philipp Bucher; Lorenzo Cerutti; Florence Corpet; Michael D. R. Croning; Richard Durbin; Laurent Falquet; Wolfgang Fleischmann; Jérôme Gouzy; Henning Hermjakob; Nicolas Hulo; Inge Jonassen; Daniel Kahn; Alexander Kanapin; Youla Karavidopoulou; Rodrigo Lopez; Beate Marx; Nicola Mulder; Tom Oinn; Marco Pagni; Florence Servant; Christian J. A. Sigrist; Evgeni M. Zdobnov


Bioinformatics | 2000

InterPro--an integrated documentation resource for protein families, domains and functional sites

Rolf Apweiler; Terri K. Attwood; Amos Marc Bairoch; Alex Bateman; Ewan Birney; Margaret Biswas; Philipp Bucher; Lorenzo Cerutti; Florence Corpet; Michael D. R. Croning; Richard Durbin; Wolfgang Fleischmann; Jérôme Gouzy; Henning Hermjakob; Nicolas Hulo; Inge Jonassen; Daniel Kahn; Alexander Kanapin; Youla Karavidopoulou; Rodrigo Lopez; Beate Marx; Nicola Mulder; Tom Oinn; Marco Pagni; Florence Servant; Christian J. A. Sigrist; Evgeni M. Zdobnov


Nucleic Acids Research | 2003

2003 brings increased coverage and new features

Nicola Mulder; Rolf Apweiler; Teresa K. Attwood; Amos Marc Bairoch; Daniel Barrell; Alex Bateman; David Binns; Margaret Biswas; Philip Bradley; Peer Bork; Philipp Bucher; Richard R. Copley; Emmanuel Courcelle; Ujjwal Das; Richard Durbin; Wolfgang Fleischmann; Sam Griffiths-Jones; Daniel H. Haft; Nicola Harte; Nicolas Hulo; Daniel Kahn; Alexander Kanapin; Maria Krestyaninova; Rocio Lopez; Ivica Letunic; David M. Lonsdale; Ville Silventoinen; Sandra Orchard; Marco Pagni; David Peyruc


Biotechnology: B: Genomics and Bioinformatics, Volume 5b, Second Edition | 2008

Using the Molecular Biology Data

Evgeni M. Zdobnov; Rodrigo Lopez; Rolf Apweiler; Thure Etzold

Collaboration


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Rolf Apweiler

European Bioinformatics Institute

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Rodrigo Lopez

European Bioinformatics Institute

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Wolfgang Fleischmann

European Bioinformatics Institute

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Alexander Kanapin

Wellcome Trust Centre for Human Genetics

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Margaret Biswas

European Bioinformatics Institute

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Thure Etzold

European Bioinformatics Institute

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Youla Karavidopoulou

European Bioinformatics Institute

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Tom Oinn

European Bioinformatics Institute

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Evgenia V. Kriventseva

Swiss Institute of Bioinformatics

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