Presentation 2013/6/20
Speed-up of homology search tool using clustering of subsequences in database
SHUJI SUZUKI, TAKASHI ISHIDA, YUTAKA AKIYAMA,
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Abstract(in English) In metagenome analysis, DNA sequences are transformed into amino acid sequences before homology search. However, next generation sequencers became to produce larger data than previous sequencers. And then it takes more time to analyze data from next generation sequencers. Thus, we have made clusters of subsequences from database before homology search and search queries from the representations in clusters to search efficiently.
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Keyword(in English) sequence homology search / sequence clustering / metagenome analysis
Paper # Vol.2013-BIO-34 No.14
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Committee NC
Conference Date 2013/6/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speed-up of homology search tool using clustering of subsequences in database
Sub Title (in English)
Keyword(1) sequence homology search
Keyword(2) sequence clustering
Keyword(3) metagenome analysis
1st Author's Name SHUJI SUZUKI
1st Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name TAKASHI ISHIDA
2nd Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology
3rd Author's Name YUTAKA AKIYAMA
3rd Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology
Date 2013/6/20
Paper # Vol.2013-BIO-34 No.14
Volume (vol) vol.113
Number (no) 111
Page pp.pp.-
#Pages 7
Date of Issue