2011年
A Novel Bioinformatics Strategy to Predict Directional Changes of Influenza A Virus Genome Sequences
ADVANCES IN SELF-ORGANIZING MAPS, WSOM 2011
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- 巻
- 6731
- 号
- 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
- ID情報
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- ISSN : 0302-9743
- Web of Science ID : WOS:000391206700020