Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Open accessAbstract
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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Sequencing data for all index and reference positive results were visually examined with Integrative Genomics Viewer to determine whether the variant was present.
“We visually examined sequencing data with the Integrative Genomics Viewer for all index and reference positive results to determine whether the variant was present.”
From Use of SNP chips to detect rare pathogenic variants: retrospective, population based diagnostic evaluation (2021) · cites this paper as [24]
All variants were verified visually using the Integrative Genomics Viewer (IGV, v2.8.2).
“All variants were verified visually using the Integrative Genomics Viewer (IGV, v2.8.2) (Thorvaldsdottir et al. 2013).”
From Antifungal Drug Concentration Impacts the Spectrum of Adaptive Mutations in <i>Candida albicans</i> (2023) · cites this paper as Thorvaldsdottir et al. 2013
Approximate LOH boundaries were confirmed by visual inspection in IGV (v2.8.2).
“Approximate LOH boundaries were identified from YMAP GBrowse allele ratio tracks, and confirmed by visual inspection in IGV (IGV, v2.8.2) (Thorvaldsdottir et al. 2013).”
From Antifungal Drug Concentration Impacts the Spectrum of Adaptive Mutations in <i>Candida albicans</i> (2023) · cites this paper as Thorvaldsdottir et al. 2013
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- Authors
- Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Robinson, J. T.
- ORCID
- Mesirov, J. P.
- Venue
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-04-19
- Volume
- 14
- Issue
- 2
- Pages
- 178-192
- ISSN
- 1467-5463 (ISSN-L)
- 1477-4054
- PMC
- PMC3603213
- 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
- hybrid
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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