databases > DOI:10.25504/FAIRsharing.ws7cgw

ready Influenza Research Database


General Information
The Influenza Research Database (IRD) 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 login- 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.


Countries that developed this resource United States

Created in 2008

Taxonomic range

How to cite this record IRD; Influenza Research Database; DOI:; Last edited: Jan. 8, 2019, 1:15 p.m.; Last accessed: Dec 06 2019 1:36 a.m.

This record is maintained by scheuerm  ORCID

Record updated: Jan. 12, 2018, 7:58 p.m. by The FAIRsharing Team.

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Influenza research database: an integrated bioinformatics resource for influenza research and surveillance

Squires RB, Noronha J, Hunt V, García-Sastre A, Macken C, Baumgarth N, Suarez D, Pickett BE, Zhang Y, Larsen CN, Ramsey A, Zhou L, Zaremba S, Kumar S, Deitrich J, Klem E, Scheuermann RH.
Influenza Other Respi Viruses 2012

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Influenza virus sequence feature variant type analysis: evidence of a role for NS1 in influenza virus host range restriction

Noronha JM, Liu M, Squires RB, Pickett BE, Hale BG, Air GM, Galloway SE, Takimoto T, Schmolke M, Hunt V, Klem E, García-Sastre A, McGee M, Scheuermann RH
J Virol 2012

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Metadata-driven comparative analysis tool for sequences (meta-CATS): an automated process for identifying significant sequence variations that correlate with virus attributes

Pickett BE, Liu M, Sadat EL, Squires RB, Noronha JM, He S, Jen W, Zaremba S, Gu Z, Zhou L, Larsen CN, Bosch I, Gehrke L, McGee M, Klem EB, Scheuermann RH
Virology 2013

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Standardized metadata for human pathogen/vector genomic sequences.

Dugan VG,Emrich SJ,Giraldo-Calderon GI,Harb OS,Newman RM,Pickett BE,Schriml LM,Stockwell TB,Stoeckert CJ Jr,Sullivan DE,Singh I,Ward DV,Yao A,Zheng J,Barrett T,Birren B,Brinkac L,Bruno VM,Caler E,Chapman S,Collins FH,Cuomo CA,Di Francesco V,Durkin S,Eppinger M,Feldgarden M,Fraser C,Fricke WF,Giovanni M,Henn MR,Hine E,Hotopp JD,Karsch-Mizrachi I,Kissinger JC,Lee EM,Mathur P,Mongodin EF,Murphy CI,Myers G,Neafsey DE,Nelson KE,Nierman WC,Puzak J,Rasko D,Roos DS,Sadzewicz L,Silva JC,Sobral B,Squires RB,Stevens RL,Tallon L,Tettelin H,Wentworth D,White O,Will R,Wortman J,Zhang Y,Scheuermann RH
PLoS One 2014

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A comprehensive collection of systems biology data characterizing the host response to viral infection.

Aevermann BD,Pickett BE,Kumar S,Klem EB,Agnihothram S,Askovich PS,Bankhead A 3rd,Bolles M,Carter V,Chang J,Clauss TR,Dash P,Diercks AH,Eisfeld AJ,Ellis A,Fan S,Ferris MT,Gralinski LE,Green RR,Gritsenko MA,Hatta M,Heegel RA,Jacobs JM,Jeng S,Josset L,Kaiser SM,Kelly S,Law GL,Li C,Li J,Long C,Luna ML,Matzke M,McDermott J,Menachery V,Metz TO,Mitchell H,Monroe ME,Navarro G,Neumann G,Podyminogin RL,Purvine SO,Rosenberger CM,Sanders CJ,Schepmoes AA,Shukla AK,Sims A,Sova P,Tam VC,Tchitchek N,Thomas PG,Tilton SC,Totura A,Wang J,Webb-Robertson BJ,Wen J,Weiss JM,Yang F,Yount B,Zhang Q,McWeeney S,Smith RD,Waters KM,Kawaoka Y,Baric R,Aderem A,Katze MG,Scheuermann RH
Sci Data 2014

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Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus.

Squires RB,Pickett BE,Das S,Scheuermann RH
Infect Genet Evol 2014

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Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans.

Lee AJ,Das SR,Wang W,Fitzgerald T,Pickett BE,Aevermann BD,Topham DJ,Falsey AR,Scheuermann RH
J Virol 2015

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A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.

Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA
Evol Bioinform Online 2015

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