Department of Chemistry and Biochemistry, University of California, San Diego, CA 92093, USA, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, Western Australia 6009, Australia, Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China, Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA, Department of Cellular and Molecular Medicine, University of California, San Diego, CA 92093, USA and Ludwig Institute for Cancer Research, La Jolla, CA 92093, USA.
Bioinformatics. 2013 Dec 15;29(24):3204-10. doi: 10.1093/bioinformatics/btt558. Epub 2013 Sep 27.
Easily visualization of complex data features is a necessary step to conduct studies on next-generation sequencing (NGS) data. We developed STAR, an integrated web application that enables online management, visualization and track-based analysis of NGS data.
STAR is a multilayer web service system. On the client side, STAR leverages JavaScript, HTML5 Canvas and asynchronous communications to deliver a smoothly scrolling desktop-like graphical user interface with a suite of in-browser analysis tools that range from providing simple track configuration controls to sophisticated feature detection within datasets. On the server side, STAR supports private session state retention via an account management system and provides data management modules that enable collection, visualization and analysis of third-party sequencing data from the public domain with over thousands of tracks hosted to date. Overall, STAR represents a next-generation data exploration solution to match the requirements of NGS data, enabling both intuitive visualization and dynamic analysis of data.
STAR browser system is freely available on the web at http://wanglab.ucsd.edu/star/browser and https://github.com/angell1117/STAR-genome-browser.
复杂数据特征的可视化是对下一代测序(NGS)数据进行研究的必要步骤。我们开发了 STAR,这是一个集成的 Web 应用程序,能够在线管理、可视化和基于轨迹的分析 NGS 数据。
STAR 是一个多层 Web 服务系统。在客户端,STAR 利用 JavaScript、HTML5 Canvas 和异步通信来提供一个流畅滚动的桌面式图形用户界面,以及一系列内置的浏览器分析工具,从提供简单的轨迹配置控件到数据集内复杂特征检测。在服务器端,STAR 通过账户管理系统支持私人会话状态保留,并提供数据管理模块,能够从公共领域收集、可视化和分析第三方测序数据,目前已托管了数千个轨迹。总的来说,STAR 代表了下一代数据探索解决方案,以满足 NGS 数据的要求,实现数据的直观可视化和动态分析。
STAR 浏览器系统可在网络上免费使用,网址为 http://wanglab.ucsd.edu/star/browser 和 https://github.com/angell1117/STAR-genome-browser。