Open AccessGraph-based clustering for finding distant relationships in a large set of protein sequences
Author(s) -
Hideya Kawaji,
Yoichi Takenaka,
Hideo Matsuda
Publication year - 2004
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/btg397
Subject(s) - cluster analysis , graph , uniprot , computer science , computational biology , pattern recognition (psychology) , biology , artificial intelligence , theoretical computer science , genetics , gene
Clustering of protein sequences is widely used for the functional characterization of proteins. However, it is still not easy to cluster distantly-related proteins, which have only regional similarity among their sequences. It is therefore necessary to develop an algorithm for clustering such distantly-related proteins.
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