Cited by 3,586Data Visualization and AnalyticsBioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

UpSetR: an R package for the visualization of intersecting sets and their properties

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Conway, Jake R, Lex, Alexander, Gehlenborg, Nils·2017·Bioinformatics

Published version of a preprint

Abstract

MOTIVATION: Venn and Euler diagrams are a popular yet inadequate solution for quantitative visualization of set intersections. A scalable alternative to Venn and Euler diagrams for visualizing intersecting sets and their properties is needed. RESULTS: We developed UpSetR, an open source R package that employs a scalable matrix-based visualization to show intersections of sets, their size, and other properties. AVAILABILITY AND IMPLEMENTATION: UpSetR is available at https://github.com/hms-dbmi/UpSetR/ and released under the MIT License. A Shiny app is available at https://gehlenborglab.shinyapps.io/upsetr/ . CONTACT: nils@hms.harvard.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Authors
Conway, J. R., Lex, A., & Gehlenborg, N.
Affiliations
  • Harvard University (US)
  • University of Utah (US)
Corresponding author
Gehlenborg, Nils
Venue
Bioinformatics
Published
2017-06-22
Volume
33
Issue
18
Pages
2938-2940
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2952615074
Cited by
3,586
References
11
Citations by year
2026: 440 · 2025: 569 · 2024: 604 · 2023: 498 · 2022: 447 · 2021: 475 · 2020: 329 · 2019: 138 · 2018: 71 · 2017: 12
FWCI
62.19
Type
journal article
Language
en
Open access
Locations
  • Bioinformatics (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
National Institutes of Health (R00HG007583, U54HG007963, U01CA198935)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
Venn diagrams, Euler diagrams, R package, Shiny app, set size
MeSH terms
Software, Sequence Analysis, DNA, Computational Biology, Genotyping Techniques

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