Open AccessQuantifying optimal accuracy of local primary sequence bioinformatics methods
Author(s) -
Daniel P. Aalberts,
E. G. Daub,
Jesse Dill
Publication year - 2005
Publication title -
computer applications in the biosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1460-2059
pISSN - 0266-7061
DOI - 10.1093/bioinformatics/bti521
Subject(s) - computer science , sequence (biology) , data mining , bioinformatics , computational biology , biology , genetics
Traditional bioinformatics methods scan primary sequences for local patterns. It is important to assess how accurate local primary sequence methods can be.
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