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UniqueProt: creating representative protein sequence sets
Author(s) -
Sven Mika,
Burkhard Rost
Publication year - 2003
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkg620
Subject(s) - biology , sequence (biology) , similarity (geometry) , cluster analysis , simple (philosophy) , service (business) , web service , value (mathematics) , data mining , computer science , world wide web , genetics , artificial intelligence , machine learning , philosophy , economy , epistemology , economics , image (mathematics)
UniqueProt is a practical and easy to use web service designed to create representative, unbiased data sets of protein sequences. The largest possible representative sets are found through a simple greedy algorithm using the HSSP-value to establish sequence similarity. UniqueProt is not a real clustering program in the sense that the 'representatives' are not at the centres of well-defined clusters since the definition of such clusters is problem-specific. Overall, UniqueProt is a reasonable fast solution for bias in data sets. The service is accessible at http://cubic.bioc.columbia.edu/services/uniqueprot; a command-line version for Linux is downloadable from this web site.

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