Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance of potentially hazardous strains

BACKGROUND: With the remarkable increase of microbial and viral sequence data obtained from high-throughput DNA sequencers, novel tools are needed for comprehensive analysis of the big sequence data. We have developed “Batch-Learning Self-Organizing Map (BLSOM)” which can characterize very many, eve...

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Detalles Bibliográficos
Autores principales: Iwasaki, Yuki, Abe, Takashi, Wada, Yoshiko, Wada, Kennosuke, Ikemura, Toshimichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765179/
https://www.ncbi.nlm.nih.gov/pubmed/23964903
http://dx.doi.org/10.1186/1471-2334-13-386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765179/
https://www.ncbi.nlm.nih.gov/pubmed/23964903
http://dx.doi.org/10.1186/1471-2334-13-386

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