Low-dimensional clustering detects incipient dominant influenza strain clusters

Protein Engineering, Design and Selection

Volumn 23, Issue 12, 2010, Pages 935-946

  He, Jiankui ^a   Deem, Michael W ^a,b  

^a RICE UNIVERSITY   (United States)

^b Rice University   (United States)

Author keywords

clustering; H1N1; H3N2; influenza

Indexed keywords

CLUSTERING; EARLY DETECTION; EVOLUTION RATE; H1N1; H3N2; HUMAN POPULATION; INFLUENZA; INFLUENZA VACCINES; SEQUENCE DATA; STRAIN DETECTION; WORLD HEALTH ORGANIZATION;

ARTICLE; CLUSTER ANALYSIS; GENE CLUSTER; INFLUENZA VIRUS A H1N1; INFLUENZA VIRUS A H3N2; PRIORITY JOURNAL; SEQUENCE ANALYSIS; VIRUS DETECTION; VIRUS STRAIN;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DISEASE OUTBREAKS; EVOLUTION, MOLECULAR; HEMAGGLUTININ GLYCOPROTEINS, INFLUENZA VIRUS; HUMANS; INFLUENZA A VIRUS, H1N1 SUBTYPE; INFLUENZA A VIRUS, H3N2 SUBTYPE; INFLUENZA, HUMAN; MODELS, BIOLOGICAL;

EID: 78649299070     PISSN: 17410126     EISSN: 17410134     Source Type: Journal    
DOI: 10.1093/protein/gzq078     Document Type: Article

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