Influenza Research Database (IRD)
Influenza Research Database (IRD) is a US NIH/NIAID-funded, freely-available online bioinformatics resource for influenza virus data search, analysis and visualization. IRD is accessed ~1484 sessions per week (Google Analytics - 2016 average) and has been cited in more that 568 scientific publications.
Using the new annotation tools, influenza sequences in IRD have been comprehensively curated and annotated. Specifically, potential sequencing artifacts are flagged and users are provided with choices whether and how to include problematic sequences in their analyses. H1/H5 sequences are annotated with H1/H5 clade assignments. The presence/absence of Phenotypic Variant Types, in which particular sequence substitutions are predicted to give rise to phenotypic effects, have been computed for all influenza sequences in IRD. IRD users can also annotate their own sequences using any of these tools.
In addition to providing these expanded sequence annotations, IRD also now facilitates comparison of homologous residues between different HA subtypes using the new HA numbering conversion tool. This tool automatically converts the coordinates of user-provided and IRD-supported sequences into any other numbering schemes defined by selected reference strains.
Finally, IRD supports metadata-based comparative genomic analysis, such as phylogenetic tree coloring based on metadata values and metadata-driven Comparative Analysis Tool for Sequences (meta-CATS). Using the new Archaeopteryx-js tree viewer and the metadata capture utility, users can now upload their own sequence data with associated metadata to their personal Workbench space and subsequently analyze and visualize their sequence data and metadata along with IRD data using these analysis tools.
IRD provides comprehensive enriched influenza virus sequence annotations and supports custom sequence annotation, analysis and visualization as part of its mission to facilitate research and development of diagnostics, prophylactics and therapeutics for influenza viruses.
Nucleic acids research. 2017-01-04; 45.D1: D466-D474.
mSphere. 2016-12-14; 1.6:
A Phylogeny-Based Global Nomenclature System and Automated Annotation Tool for H1 Hemagglutinin Genes from Swine Influenza A Viruses
Journal of virology. 2015-05-01; 89.10: 5427-40.
Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans
Evolutionary bioinformatics online. 2015-01-01; 11.43-8.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2014-12-01; 28.351-7.
Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus
Scientific data. 2014-10-14; 1.140033.
A comprehensive collection of systems biology data characterizing the host response to viral infection
PloS one. 2014-06-17; 9.6: e99979.
Virology. 2013-12-01; 447.1-2: 45-51.
Metadata-driven comparative analysis tool for sequences (meta-CATS): an automated process for identifying significant sequence variations that correlate with virus attributes
Influenza and other respiratory viruses. 2012-11-01; 6.6: 404-16.
Influenza research database: an integrated bioinformatics resource for influenza research and surveillance
Journal of virology. 2012-05-01; 86.10: 5857-66.
Influenza virus sequence feature variant type analysis: evidence of a role for NS1 in influenza virus host range restriction
Proceedings of the National Academy of Sciences of the United States of America. 2009-12-01; 106.48: 20365-70.
This work is funded by the National Institute of Allergy and Infectious Diseases (NIH/DHHS) under contract no. HHSN272201400028C.