Cited by 9,049Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical ResearchData Visualization and Analytics

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

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Thorvaldsdottir, H., Robinson, J. T., Mesirov, J. P.·2013·Briefings in Bioinformatics

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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Authors
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P.
Affiliations
Broad Institute (US)
Corresponding author
Robinson, J. T.
Venue
Briefings in Bioinformatics
Published
2012-04-19
Volume
14
Issue
2
Pages
178-192
ISSN
  • 1467-5463 (ISSN-L)
  • 1477-4054
OpenAlex
W2117131162
Cited by
9,049
References
17
Citations by year
2026: 545 · 2025: 776 · 2024: 813 · 2023: 801 · 2022: 807 · 2021: 895 · 2020: 839 · 2019: 780 · 2018: 676 · 2017: 562 · 2016: 494 · 2015: 500 · 2014: 371 · 2013: 158 · 2012: 25
FWCI
135.61
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Briefings in Bioinformatics (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
Funders
  • Broad Institute (U54HG003067)
  • Weill Cornell Medical College
  • National Human Genome Research Institute (U54HG003067)
  • National Cancer Institute (R21CA135827)
  • National Institute of General Medical Sciences (R01GM074024)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
Keywords
genome visualization, exploratory data analysis, next-generation sequencing data, integrative genomics, open source software
MeSH terms
Computer Graphics, Data Display, Humans, Software, User-Computer Interface, Information Storage and Retrieval, Sequence Alignment, Computational Biology, Genomics, Databases, Genetic, Data Mining, High-Throughput Nucleotide Sequencing

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