STAR: An integrated solution to management and visualization of sequencing data

  • Wang T
  • Liu J
  • Shen L
 et al. 
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Abstract

MOTIVATION: 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 next generation sequencing data.

RESULTS: STAR is a multi-layer 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 (GUI) 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 next-generation sequencing data, enabling both intuitive visualization and dynamic analysis of data.

AVAILABILITY: STAR browser system is freely available on the web at: http://wanglab.ucsd.edu/star/browser https://github.com/angell1117/STAR-genome-browser CONTACT: wei-wang@ucsd.edu.

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Authors

  • Tao Wang

  • Jie Liu

  • Li Shen

  • Julian Tonti-Filippini

  • Yun Zhu

  • Haiyang Jia

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