edoc

nextflu: real-time tracking of seasonal influenza virus evolution in humans

Neher, Richard A. and Bedford, Trevor. (2015) nextflu: real-time tracking of seasonal influenza virus evolution in humans. Bioinformatics, 31 (21). pp. 3546-3548.

[img]
Preview
PDF - Published Version
Available under License CC BY (Attribution).

237Kb

Official URL: http://edoc.unibas.ch/53982/

Downloads: Statistics Overview

Abstract

Seasonal influenza viruses evolve rapidly, allowing them to evade immunity in their human hosts and reinfect previously infected individuals. Similarly, vaccines against seasonal influenza need to be updated frequently to protect against an evolving virus population. We have thus developed a processing pipeline and browser-based visualization that allows convenient exploration and analysis of the most recent influenza virus sequence data. This web-application displays a phylogenetic tree that can be decorated with additional information such as the viral genotype at specific sites, sampling location and derived statistics that have been shown to be predictive of future virus dynamics. In addition, mutation, genotype and clade frequency trajectories are calculated and displayed.; Python and Javascript source code is freely available from https://github.com/blab/nextflu, while the web-application is live at http://nextflu.org.; tbedford@fredhutch.org.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Computational Modeling of Biological Processes (Neher)
UniBasel Contributors:Neher, Richard
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:1367-4803
e-ISSN:1367-4811
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
Last Modified:16 Sep 2019 10:31
Deposited On:26 Oct 2017 15:49

Repository Staff Only: item control page