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Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis and annotation. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.

Read more about: This resource | Flu database | NIAID Influenza Sequencing Project | Influenza virus biology
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New! 11/04/2008: Proteins belong to segments that encode more than one protein (e.g. M1 and M2) can now be searched separately from the database. More news

Search the Flu database, build queries, retrieve sequences, apply analysis tools Begin
Database Select influenza sequences by virus, subtype, host, and other criteria
Advanced database search
Genome SetFind complete genome sets
Alignment Align your sequence(s) and others in the database (up to 1000 sequences)
TreeBuild a clustering or phylogenetic tree
BLASTBLAST a flu sequence against the database
AnnotationAnnotate flu genomic sequences
FTPRetrieve database and sequence data through ftp

Sample SearchesBegin
  • HA proteins of the H3 subtype Influenza A virus in US from 1998 to 2002. Sort the result first by host, and then by subtype and sequence length in the descending order.
  • Complete genome sets of the H5N1 subtype Influenza A virus in human after 2000.
  • New records in Entrez
  • Publications on influenza viruses from the past 2 weeks
  • Sequences from the NIAID Flu Project from the past week
  • All influenza sequences updated in GenBank from the past week
  • How to cite NCBI's Influenza Virus Resource
    Bao Y., P. Bolotov, D. Dernovoy, B. Kiryutin, L. Zaslavsky, T. Tatusova, J. Ostell, and D. Lipman. The Influenza Virus Resource at the National Center for Biotechnology Information. J. Virol. 2008 Jan;82(2):596-601.

    Our recent publications
  • Zaslavsky L, et al. Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale representation. BMC Bioinformatics, 2008;9:237.
  • Zaslavsky L, et al. Accelerating the neighbor-joining algorithm using the adaptive bucket data structure. Bioinformatics Research and Applications. Lecture Notes in Computer Science, Springer-Verlag, 2008;4983:122-133.
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