STAR: An Integrated Solution to Management and Visualization of Sequencing Data

T. Wang, J. Liu, L. Shen, Julian Tonti-Filippini, Y. Zhu, H. Jia, Ryan Lister, J.W. Whitaker, J. Ecker, Harvey Millar, B. Ren, W. Wang

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

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 NGS data.

Results: 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.

Availability and implementation: STAR browser system is freely available on the web at http://wanglab.ucsd.edu/star/browser and https://github.com/angell1117/STAR-genome-browser.

Contact:wei-wang@ucsd.edu
Original languageEnglish
Pages (from-to)3204–3210
JournalBioinformatics
Volume29
Issue number24
DOIs
Publication statusPublished - 2013

Fingerprint

Dive into the research topics of 'STAR: An Integrated Solution to Management and Visualization of Sequencing Data'. Together they form a unique fingerprint.

Cite this