• DocumentCode
    2537461
  • Title

    The Galaxy Track Browser: Transforming the genome browser from visualization tool to analysis tool

  • Author

    Goecks, J. ; Kanwei Li ; Clements, D. ; Taylor, James

  • fYear
    2011
  • fDate
    23-24 Oct. 2011
  • Firstpage
    39
  • Lastpage
    46
  • Abstract
    The proliferation of next-generation sequencing (NGS) technologies and analysis tools present new challenges to genome browsers. These challenges include supporting very large datasets, integrating analysis tools with data visualization to help reason about and improve analyses, and sharing or publishing fully interactive visualizations. The Galaxy Track Browser (GTB) is a Web-based genome browser integrated into the Galaxy platform that addresses these challenges. GTB is the first Web-based genome browser to provide a full multi-resolution data model; this model supports efficient data retrieval from very large datasets. GTB leverages the Galaxy platform to combine data visualization and data analysis; users can specify parameter values and run tools to produce new data, all within GTB. GTB also provides interactive filters that dynamically show and hide data and can be used to identify data for further investigation. GTB is available on every Galaxy server, and visualizations can be created for both standard and custom genome builds. Fully interactive GTB visualizations can be shared with colleagues and published on the Web using a simple graphical user interface.
  • Keywords
    biology computing; data visualisation; graphical user interfaces; information retrieval; GTB; Galaxy platform; NGS; Web based genome browser; analysis tool; data retrieval; data visualization; galaxy track browser; graphical user interface; interactive visualizations; next generation sequencing; Assembly; Bioinformatics; Browsers; Data models; Data visualization; Genomics; Servers; Galaxy Track Browser; genome browser; genomics; visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biological Data Visualization (BioVis), 2011 IEEE Symposium on
  • Conference_Location
    Providence, RI
  • Print_ISBN
    978-1-4673-0003-2
  • Type

    conf

  • DOI
    10.1109/BioVis.2011.6094046
  • Filename
    6094046