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

By R. B. Squires, J. Noronha, Victoria Hunt, A. García‐Sastre, C. Macken, N. Baumgarth, D. Suarez, B. Pickett, Yun Zhang, C. Larsen and 7 more. Influenza and Other Respiratory Viruses, 2012

299 citations recorded by the source corpus.

Please cite this paper as: Squires et al. (2012) Influenza research database: an integrated bioinformatics resource for influenza research and surveillance. Influenza and Other Respiratory Viruses 6(6), 404–416.

Subfields: Epidemiology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d07fea283ad69996b9d2b553e23dc61b872f18d6

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Citations in the corpus

Global circulation patterns of seasonal influenza viruses vary with antigenic drift (2015, unknown): “HA sequence data for 1630 H3N2 isolates, 1600 H1N1 isolates, 1394 Vic isolates and 881 Yam isolates have been deposited in the Influenza Research Database 10 and accession numbers for all sequences used provided as Supplementary Information.”
Influenza Research Database: An integrated bioinformatics resource for influenza virus research (2016, background): “Furthermore, Influenza and Other Respiratory Viruses also reported that the IRD database paper (5) was the #1 cited paper in the journal in 2014.”
Viral Phylodynamics (2013, methodology): “This hypothesis is supported by empirical patterns of antigenic evolution; there have been nine vaccine updates recommended by the WHO for H1N1 in the interpandemic period between 1978 and 2009, while there have been 20 vaccine updates recommended for H3N2 during this same time period [46].”
Integrating influenza antigenic dynamics with molecular evolution (2013, methodology): “We queried the Influenza Research Database [38] and the EpiFlu Database [39] for HA nucleotide sequences by matching strain names, e.g.”
Functional Constraint Profiling of a Viral Protein Reveals Discordance of Evolutionary Conservation and Functionality (2015, methodology): “8726 influenza A PA coding sequences (CDS) were retrieved from the Influenza Research Database [89] using the following parameters: human host, all geographical locations, complete segment only, include pH1N1, remove duplicate sequences, length of 2151 bp.”
Predicting evolution from the shape of genealogical trees (2014, methodology): “org (Squires et al., 2012)).”