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Arnold, R. ; Rattei, T.* ; Tischler, P. ; Truong, M.-D. ; Stuempflen, V. ; Mewes, H.-W.

SIMAP - The similarity matrix of proteins.

Bioinformatics 21, 42-46 (2005)
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Motivation: Sequence similarity searches are of great importance in bioinformatics. Exhaustive searches for homologous proteins in databases are computationally expensive and can be replaced by a database of pre-calculated homologies in many cases. Retrieving similarities from an incrementally updated database instead of repeatedly recalculating them should provide homologs much faster and frees computational resources for other purposes. Results: We have implemented SIMAP-a database containing the similarity space formed by almost all amino acid sequences from public databases and completely sequenced genomes. The database is capable of handling very large datasets and allows incremental updates. We have implemented a powerful backbone for similarity computation, which is based on FASTA heuristics. By providing WWW interfaces as well as web services, we make our data accessible to the worldwide community. We have also adapted procedures to detect putative orthologs as example applications. Availability: The SIMAP portal page providing links to SIMAP services is publicly available: http://mips.gsf.de/services/analysis/simap/. The web services can be accessed under http://mips.gsf.de/proj/hobitws/services/RPCSimapService?wsdl and http://mips.gsf.de/proj/hobitws/services/DocSimapService?wsdl.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords GENOME DATABASE; SMITH-WATERMAN; YEAST GENOME; SEQUENCE; ALIGNMENT; IDENTIFICATION; SUBSTITUTION; STATISTICS; PACKAGE; SEARCH
ISSN (print) / ISBN 1367-4803
e-ISSN 1367-4811
Journal Bioinformatics
Quellenangaben Volume: 21, Issue: 2, Pages: 42-46 Article Number: , Supplement: ,
Publisher Oxford University Press
Publishing Place Oxford
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)