Prediction of directional changes of influenza A virus genome sequences with emphasis on pandemic H1N1/09 as a model case.

ABSTRACT: Influenza virus poses a significant threat to public health, as exemplified by the recent introduction of the new pandemic strain H1N1/09 into human populations. Pandemics have been initiated by the occurrence of novel changes in animal sources that eventually adapt to human. One important issue in studies of viral genomes, particularly those of influenza virus, is to predict possible changes in genomic sequence that will become hazardous. We previously established a clustering method termed 'BLSOM' (batch-learning self-organizing map) that does not depend on sequence alignment and can characterize and compare even 1 million genomic sequences in one run. Strategies for comparing a vast number of genomic sequences simultaneously become increasingly important in genome studies because of rem

SUBMITTER: Iwasaki Y 

PROVIDER: S-EPMC3077041 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature