TY - GEN
T1 - Mixing patterns in a global influenza A virus network using whole genome comparisons
AU - Breland, Adrienne E.
AU - Gunes, Mehmet H.
AU - Schlauch, Karen A.
AU - Harris, Frederick C.
PY - 2010
Y1 - 2010
N2 - Approximating 'real' disease transmission networks through genomic sequence comparisons among pathogenic isolates is increasingly feasible with the current growth in genomic sequence data. Here, we derive a network from over 4,200 globally distributed influenza A virus isolates based on alignment-free sequence comparisons. We then employ network mixing pattern analysis to examine transmission probabilities between isolates from different global regions, host types, subtypes and collection years. While we can not use our results to describe the complete global network of influenza A virus, we present a novel analytical process. In addition, we describe some of the characteristics of this subset of currently available data. Most notable results are the high levels of inter regional links and the important role that avian species seem to play in non human global transmission.
AB - Approximating 'real' disease transmission networks through genomic sequence comparisons among pathogenic isolates is increasingly feasible with the current growth in genomic sequence data. Here, we derive a network from over 4,200 globally distributed influenza A virus isolates based on alignment-free sequence comparisons. We then employ network mixing pattern analysis to examine transmission probabilities between isolates from different global regions, host types, subtypes and collection years. While we can not use our results to describe the complete global network of influenza A virus, we present a novel analytical process. In addition, we describe some of the characteristics of this subset of currently available data. Most notable results are the high levels of inter regional links and the important role that avian species seem to play in non human global transmission.
UR - http://www.scopus.com/inward/record.url?scp=77955613398&partnerID=8YFLogxK
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U2 - 10.1109/CIBCB.2010.5510336
DO - 10.1109/CIBCB.2010.5510336
M3 - Conference contribution
AN - SCOPUS:77955613398
SN - 9781424467662
T3 - 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010
SP - 190
EP - 197
BT - 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010
T2 - 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010
Y2 - 2 May 2010 through 5 May 2010
ER -