Abstract
Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today's sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license.
Keywords
VisualizationComputer scienceData visualizationGenomicsMIT LicenseBig dataData scienceLicenseDownloadWorld Wide WebGenomeData miningBiologyOperating system
Affiliated Institutions
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Publication Info
- Year
- 2012
- Type
- article
- Volume
- 14
- Issue
- 2
- Pages
- 178-192
- Citations
- 9150
- Access
- Closed
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Cite This
Helga Thorvaldsdóttir,
James Robinson,
Jill P. Mesirov
(2012).
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.
Briefings in Bioinformatics
, 14
(2)
, 178-192.
https://doi.org/10.1093/bib/bbs017
Identifiers
- DOI
- 10.1093/bib/bbs017