A Network Integration Approach to Predict Conserved Regulators Related to Pathogenicity of Influenza and SARS-CoV Respiratory Viruses

PLoS ONE

Volumn 8, Issue 7, 2013, Pages

  Mitchell, Hugh D ^a   Eisfeld, Amie J ^b   Sims, Amy C ^c   McDermott, Jason E ^a   Matzke, Melissa M ^a   Webb Robertson, Bobbi Jo M ^a   Tilton, Susan C ^a   Tchitchek, Nicolas ^d   Josset, Laurence ^d   Li, Chengjun ^b   Ellis, Amy L ^b   Chang, Jean H ^d   Heegel, Robert A ^a   Luna, Maria L ^a   Schepmoes, Athena A ^a   Shukla, Anil K ^a   Metz, Thomas O ^a   Neumann, Gabriele ^b   Benecke, Arndt G ^d,e   Smith, Richard D ^a   Baric, Ralph S ^c   Kawaoka, Yoshihiro ^b,f,g   Katze, Michael G ^d   Waters, Katrina M ^a   more..

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c University of North Carolina at Chapel Hill   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

^e SORBONNE UNIVERSITÉ   (France)

^f UNIVERSITY OF TOKYO   (Japan)

^g JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOINFORMATICS; DATA BASE; INFLUENZA; INFLUENZA VIRUS; LUNG ALVEOLUS EPITHELIUM; MOUSE; NETWORK INTEGRATION APPROACH; NONHUMAN; NUCLEOTIDE SEQUENCE; PATHOGENESIS; PATHOGENICITY; PREDICTION; REGULATORY MECHANISM; SARS CORONAVIRUS; STATISTICAL MODEL; UNINDEXED SEQUENCE; VIRUS PATHOGENESIS;

ANIMALS; EPITHELIAL CELLS; GENE EXPRESSION REGULATION; GENES, REGULATOR; HOST-PATHOGEN INTERACTIONS; HUMANS; LUNG; MODELS, STATISTICAL; ORTHOMYXOVIRIDAE; RESPIRATORY MUCOSA; SARS VIRUS; TRANSCRIPTOME; VIRULENCE; VIRUS REPLICATION;

EID: 84880780175     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0069374     Document Type: Article

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