Open AccessCAST: an iterative algorithm for the complexity analysis of sequence tracts
Author(s) -
Vasilis J. Promponas,
Anton J. Enright,
Sophia Tsoka,
David P. Kreil,
Christophe Leroy,
Stavros J. Hamodrakas,
Chris Sander,
Christos Ouzounis
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/16.10.915
Subject(s) - computer science , algorithm , executable , false positive paradox , sequence database , sequence (biology) , computational complexity theory , artificial intelligence , biology , gene , biochemistry , genetics , operating system
Sensitive detection and masking of low-complexity regions in protein sequences. Filtered sequences can be used in sequence comparison without the risk of matching compositionally biased regions. The main advantage of the method over similar approaches is the selective masking of single residue types without affecting other, possibly important, regions.
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