Whole genome sequencing identifies influenza A H3N2 transmission and offers superior resolution to classical typing methods
- 31 October 2017
- journal article
- research article
- Published by Springer Nature in Infection
- Vol. 46 (1) , 69-76
- https://doi.org/10.1007/s15010-017-1091-3
Abstract
Influenza with its annual epidemic waves is a major cause of morbidity and mortality worldwide. However, only little whole genome data are available regarding the molecular epidemiology promoting our understanding of viral spread in human populations.Keywords
Funding Information
- Bavarian State Ministry of Health and Care (13-30)
This publication has 28 references indexed in Scilit:
- Fast gapped-read alignment with Bowtie 2Nature Methods, 2012
- Integrative genomics viewerNature Biotechnology, 2011
- Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciencesGenome Biology, 2010
- Galaxy: A Web‐Based Genome Analysis Tool for ExperimentalistsCurrent Protocols in Molecular Biology, 2010
- Single-Reaction Genomic Amplification Accelerates Sequencing and Vaccine Production for Classical and Swine Origin Human Influenza A VirusesJournal of Virology, 2009
- VarScan: variant detection in massively parallel sequencing of individual and pooled samplesBioinformatics, 2009
- Duration of Influenza A Virus Shedding in Hospitalized Patients and Implications for Infection ControlInfection Control & Hospital Epidemiology, 2007
- Role of Cell Culture for Virus Detection in the Age of TechnologyClinical Microbiology Reviews, 2007
- Comparison of the Mutation Rates of Human Influenza A and B VirusesJournal of Virology, 2006
- Galaxy: A platform for interactive large-scale genome analysisGenome Research, 2005