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PMID: 15769832 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

MIPS bacterial genomes functional annotation benchmark dataset.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 10 ·2005-05-15 ·Pages 2520-1

Tetko IV, Brauner B, Dunger-Kaltenbach I, Frishman G, Montrone C, Fobo G, Ruepp A, Antonov AV, Surmeli D, Mewes HW

Abstract

Any development of new methods for automatic functional annotation of proteins according to their sequences requires high-quality data (as benchmark) as well as tedious preparatory work to generate sequence parameters required as input data for the machine learning methods. Different program settings and incompatible protocols make a comparison of the analyzed methods difficult. The MIPS Bacterial Functional Annotation Benchmark dataset (MIPS-BFAB) is a new, high-quality resource comprising four bacterial genomes manually annotated according to the MIPS functional catalogue (FunCat). These resources include precalculated sequence parameters, such as sequence similarity scores, InterPro domain composition and other parameters that could be used to develop and benchmark methods for functional annotation of bacterial protein sequences. These data are provided in XML format and can be used by scientists who are not necessarily experts in genome annotation. BFAB is available at http://mips.gsf.de/proj/bfab

MeSH Terms
Bacterial Proteins/chemistry,classification,genetics Benchmarking/methods Chromosome Mapping/methods Database Management Systems Databases, Protein Documentation/methods Genome, Bacterial Information Storage and Retrieval/methods Internet
Chemicals
Bacterial Proteins
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Tetko Igor V
Institute for Bioinformatics (MIPS), GSF National Research Center for Environment and Health, Ingolstaedter Landstrasse 1, D-85764 Neuherberg, Germany. i.tetko@gsf.de
Brauner Barbara
Dunger-Kaltenbach Irmtraud
Frishman Goar
Montrone Corinna
Fobo Gisela
Ruepp Andreas
Antonov Alexey V
Surmeli Dimitrij
Mewes Hans-Wernen
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-05-15
Epub
2005-00-15
Pages
2520-1
Language
English
Region
England
NLM ID
9808944
Subset
IM
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