Hadfield James, Croucher Nicholas J, Goater Richard J, Abudahab Khalil, Aanensen David M, Harris Simon R
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
Bioinformatics. 2018 Jan 15;34(2):292-293. doi: 10.1093/bioinformatics/btx610.
Fully exploiting the wealth of data in current bacterial population genomics datasets requires synthesizing and integrating different types of analysis across millions of base pairs in hundreds or thousands of isolates. Current approaches often use static representations of phylogenetic, epidemiological, statistical and evolutionary analysis results that are difficult to relate to one another. Phandango is an interactive application running in a web browser allowing fast exploration of large-scale population genomics datasets combining the output from multiple genomic analysis methods in an intuitive and interactive manner.
Phandango is a web application freely available for use at www.phandango.net and includes a diverse collection of datasets as examples. Source code together with a detailed wiki page is available on GitHub at https://github.com/jameshadfield/phandango.
充分利用当前细菌群体基因组学数据集中丰富的数据，需要对数百或数千个分离株中数百万碱基对进行不同类型分析的综合与整合。当前方法通常使用系统发育、流行病学、统计和进化分析结果的静态表示，这些表示彼此之间难以关联。Phandango是一个在网页浏览器中运行的交互式应用程序，它能够以直观且交互式的方式，快速探索结合了多种基因组分析方法输出的大规模群体基因组学数据集。
Phandango是一个可在www.phandango.net上免费使用的网络应用程序，并包含各种数据集作为示例。其源代码以及详细的维基页面可在GitHub上获取，网址为https://github.com/jameshadfield/phandango。
