論文

査読有り
2011年

A Novel Bioinformatics Strategy to Predict Directional Changes of Influenza A Virus Genome Sequences

ADVANCES IN SELF-ORGANIZING MAPS, WSOM 2011
  • Yuki Iwasaki
  • ,
  • Kennosuke Wada
  • ,
  • Masae Itoh
  • ,
  • Toshimichi Ikemura
  • ,
  • Takashi Abe

6731
開始ページ
198
終了ページ
206
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
出版者・発行元
SPRINGER-VERLAG BERLIN

Influenza A viruses cause a significant threat to public health as highlighted by the recent introduction of the swine-derived H1N1 virus (pandemic H1N1/09) into human populations. Pandemics were primarily initiated by introduction from animal sources and successive adaptation among humans through human-to-human transmission. We established a sequence alignment-free clustering method "BLSOM", which can analyze and compare all influenza A virus genome sequences on one map. Separation according to host animal, subtype and epidemic year could be efficiently visualized. Notably, H1N1/09 strains have oligonucleotide and codon compositions clearly distinct from those of seasonal human flu strains. This enabled us to make inferences about directional changes of H1N1/09 sequences in the near future and to list codons and oligonucleotides with the potential of reduction in H1N1/09 sequences. The strong visualization power of BLSOM also provides surveillance strategies for efficiently detecting potential precursors to pandemic viruses.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000391206700020&DestApp=WOS_CPL
ID情報
  • ISSN : 0302-9743
  • Web of Science ID : WOS:000391206700020

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