Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

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ID: 289260
2012
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Ranked #55 of 55 articles by views in Briefings in bioinformatics

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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.
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openalex_W2117131162 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Helga Thorvaldsdóttir, James Robinson, Jill P. Mesirov
Journal Briefings in bioinformatics
Year 2012
DOI
10.1093/bib/bbs017
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