Open AccessA Network Integration Approach to Predict Conserved Regulators Related to Pathogenicity of Influenza and SARS-CoV Respiratory Viruses
Author(s) -
Hugh Mitchell,
Amie J. Eisfeld,
Amy C. Sims,
Jason McDermott,
Melissa M. Matzke,
Bobbi-Jo M. Webb-Robertson,
Susan C. Tilton,
Nicolas Tchitchek,
Laurence Josset,
Chengjun Liu,
Anthony Ellis,
Jean Chang,
Robert A. Heegel,
Maria L. Luna,
Athena Schepmoes,
Anil Kumar Shukla,
Thomas O. Metz,
Gabriele Neumann,
Arndt Benecke,
Richard D. Smith,
Ralph S. Baric,
Yoshihiro Kawaoka,
Michael G. Katze,
Katrina M. Waters
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/mbhe-hg94
Subject(s) - pathogenicity , virology , biology , influenza a virus subtype h5n1 , covid-19 , influenza a virus , computational biology , virus , microbiology and biotechnology , medicine , infectious disease (medical specialty) , disease , pathology , outbreak