Open AccessFaster sequence homology searches by clustering subsequences
Author(s) -
Shuji Suzuki,
Masanori Kakuta,
Takashi Ishida,
Yutaka Akiyama
Publication year - 2014
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/btu780
Subject(s) - cluster analysis , homology (biology) , sequence (biology) , sequence homology , computer science , computational biology , sequence alignment , base sequence , genetics , biology , artificial intelligence , peptide sequence , gene
Sequence homology searches are used in various fields. New sequencing technologies produce huge amounts of sequence data, which continuously increase the size of sequence databases. As a result, homology searches require large amounts of computational time, especially for metagenomic analysis.
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