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NextFlu:实时追踪人类季节性流感病毒的演变。

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

机构信息

Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany and.

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.

出版信息

Bioinformatics. 2015 Nov 1;31(21):3546-8. doi: 10.1093/bioinformatics/btv381. Epub 2015 Jun 26.

Abstract

UNLABELLED

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.

AVAILABILITY AND IMPLEMENTATION

Python and Javascript source code is freely available from https://github.com/blab/nextflu, while the web-application is live at http://nextflu.org.

CONTACT

tbedford@fredhutch.org.

摘要

未标注

季节性流感病毒进化迅速,使其能够逃避人类宿主的免疫,并重新感染先前感染过的个体。同样,季节性流感疫苗需要频繁更新,以抵御不断进化的病毒群体。因此,我们开发了一个处理管道和基于浏览器的可视化工具,允许方便地探索和分析最新的流感病毒序列数据。这个网络应用程序显示一个系统发育树,可以用额外的信息来装饰,例如特定位置的病毒基因型、采样地点和衍生的统计数据,这些数据已被证明可以预测未来的病毒动态。此外,还计算和显示突变、基因型和谱系频率轨迹。

可用性和实现

Python 和 JavaScript 的源代码可从 https://github.com/blab/nextflu 免费获得,而网络应用程序则可在 http://nextflu.org 上使用。

联系方式

tbedford@fredhutch.org

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7a2/4612219/cf5fdf09f57c/btv381f1p.jpg

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