Influenza Research Database: an integrated bioinformatics resource for influenza research and surveillance

R. Burke Squires(The University of Texas Southwestern Medical Center), Jyothi M. Noronha(The University of Texas Southwestern Medical Center), Victoria Hunt(The University of Texas Southwestern Medical Center), Adolfo García‐Sastre(Icahn School of Medicine at Mount Sinai), Catherine A. Macken(Los Alamos National Laboratory), Nicole Baumgarth(University of California, Davis), David L. Suarez(U.S. National Poultry Research Center), Brett E Pickett(The University of Texas Southwestern Medical Center), Yun Zhang(The University of Texas Southwestern Medical Center), Christopher N. Larsen(Vecna Technologies (United States)), Alvin Ramsey(Vecna Technologies (United States)), Li‐Wei Zhou(Northrop Grumman (United States)), Sam Zaremba(Northrop Grumman (United States)), Sanjeev Kumar(Northrop Grumman (United States)), Jon Deitrich(Northrop Grumman (United States)), Edward B. Klem(Northrop Grumman (United States)), Richard H. Scheuermann(The University of Texas Southwestern Medical Center)
Influenza and Other Respiratory Viruses
January 20, 2012
Cited by 309Open Access
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Abstract

BACKGROUND: The recent emergence of the 2009 pandemic influenza A/H1N1 virus has highlighted the value of free and open access to influenza virus genome sequence data integrated with information about other important virus characteristics. DESIGN: The Influenza Research Database (IRD, http://www.fludb.org) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization and comparative genomics analysis, together with personal log in-protected 'workbench' spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature. RESULTS: To demonstrate the utility of the data and analysis tools available in IRD, two scientific use cases are presented. A comparison of hemagglutinin sequence conservation and epitope coverage information revealed highly conserved protein regions that can be recognized by the human adaptive immune system as possible targets for inducing cross-protective immunity. Phylogenetic and geospatial analysis of sequences from wild bird surveillance samples revealed a possible evolutionary connection between influenza virus from Delaware Bay shorebirds and Alberta ducks. CONCLUSIONS: The IRD provides a wealth of integrated data and information about influenza virus to support research of the genetic determinants dictating virus pathogenicity, host range restriction and transmission, and to facilitate development of vaccines, diagnostics, and therapeutics.


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