Pignatelli Miguel
Centre for Therapeutic Target Validation and European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Bioinformatics. 2016 Aug 15;32(16):2524-5. doi: 10.1093/bioinformatics/btw210. Epub 2016 Apr 22.
There is an increasing need for rich and dynamic biological data visualizations in bioinformatic web applications. New standards in web technologies, like SVG or Canvas, are now supported by most modern web browsers allowing the blossoming of powerful visualizations in biological data analysis. The exploration of different ways to visualize genomic data is still challenging due to the lack of flexible tools to develop them. Here, I present a set of libraries aimed at creating powerful tree- and track-based visualizations for the web. Its modularity and rich API facilitate the development of many different visualizations ranging from simple species trees to complex visualizations comprising per-node data annotations or even simple genome browsers.
The TnT libraries have been written in Javascript, licensed under the APACHE 2.0 license and hosted at https://github.com/tntvis
生物信息网络应用中对丰富且动态的生物数据可视化的需求日益增长。网络技术的新标准,如SVG或Canvas,现在已得到大多数现代网络浏览器的支持,这使得生物数据分析中强大的可视化得以蓬勃发展。由于缺乏开发基因组数据可视化的灵活工具,探索不同的可视化方式仍然具有挑战性。在此,我展示了一组旨在为网络创建强大的基于树和轨道的可视化的库。其模块化和丰富的应用程序编程接口(API)有助于开发许多不同的可视化,从简单的物种树到包含每个节点数据注释甚至简单基因组浏览器的复杂可视化。
TnT库用JavaScript编写,遵循Apache 2.0许可协议,托管于https://github.com/tntvis