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SAWTED: Structure Assignment With Text Description—Enhanced detection of remote homologues with automated SWISS-PROT annotation comparisons
Author(s) -
Robert M. MacCallum,
Lawrence A. Kelley,
Michael J.E. Sternberg
Publication year - 2000
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/16.2.125
Subject(s) - computer science , benchmark (surveying) , information retrieval , web server , annotation , filter (signal processing) , function (biology) , server , sequence (biology) , data mining , database , artificial intelligence , world wide web , the internet , biology , genetics , geodesy , computer vision , geography , evolutionary biology
Sequence database search methods often identify putative sub-threshold hits of known function or structure for a given query sequence. It is widespread practice to filter these hits by hand using knowledge of function and other factors; to the expert, some hits may appear more sensible than others. SAWTED (Structure Assignment With Text Description) is an automated solution to this post-filtering problem which will be applicable to large scale genome assignments.

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