Savant Genome Browser

Savant Genome Browser visualizes and computationally analyzes high-throughput sequencing (HTS) data and genome-based sequence, point, interval, and continuous datasets to enable exploration and interpretation of large genomic datasets generated by modern sequencing technologies.


Key Features:

  • Support for HTS and genomic datasets: Supports visualization of high-throughput sequencing (HTS) data and virtually any genome-based sequence, point, interval, or continuous dataset.
  • Integration of visualization and computation: Integrates visualization with computational analysis to enable iterative refinement by adjusting computational parameters within the visual framework and producing real-time updates.
  • Multiple visualization modes: Provides multiple visualization modes tailored for different genomic datatypes.
  • Plugin architecture: Supports plugins that extend computational analyses and visualization capabilities for specific research needs.

Scientific Applications:

  • Exploration of large genomic datasets: Enables exploration and interpretation of large genomic datasets generated by modern sequencing technologies, including HTS.
  • Iterative analysis refinement: Facilitates iterative refinement of analyses through combined visualization and parameter adjustment.
  • Custom analytical extensions: Allows development and deployment of plugin-based analytical extensions for domain-specific genomic investigations.

Methodology:

Integration of visualization with computational analysis, iterative parameter adjustment within the visual framework, and plugin-based computational extensions.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
3/25/2017
Last Updated:
11/25/2024

Operations

Publications

Fiume M, Smith EJM, Brook A, Strbenac D, Turner B, Mezlini AM, Robinson MD, Wodak SJ, Brudno M. Savant Genome Browser 2: visualization and analysis for population-scale genomics. Nucleic Acids Research. 2012;40(W1):W615-W621. doi:10.1093/nar/gks427. PMID:22638571. PMCID:PMC3394255.