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UpSetR: an R package for the visualization of intersecting sets and their properties
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 th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870712/ https://www.ncbi.nlm.nih.gov/pubmed/28645171 http://dx.doi.org/10.1093/bioinformatics/btx364 |
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author | Conway, Jake R Lex, Alexander Gehlenborg, Nils |
author_facet | Conway, Jake R Lex, Alexander Gehlenborg, Nils |
author_sort | Conway, Jake R |
collection | PubMed |
description | 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/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5870712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58707122018-04-05 UpSetR: an R package for the visualization of intersecting sets and their properties Conway, Jake R Lex, Alexander Gehlenborg, Nils Bioinformatics Applications Notes 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/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-09-15 2017-06-22 /pmc/articles/PMC5870712/ /pubmed/28645171 http://dx.doi.org/10.1093/bioinformatics/btx364 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Conway, Jake R Lex, Alexander Gehlenborg, Nils UpSetR: an R package for the visualization of intersecting sets and their properties |
title | UpSetR: an R package for the visualization of intersecting sets and their properties |
title_full | UpSetR: an R package for the visualization of intersecting sets and their properties |
title_fullStr | UpSetR: an R package for the visualization of intersecting sets and their properties |
title_full_unstemmed | UpSetR: an R package for the visualization of intersecting sets and their properties |
title_short | UpSetR: an R package for the visualization of intersecting sets and their properties |
title_sort | upsetr: an r package for the visualization of intersecting sets and their properties |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870712/ https://www.ncbi.nlm.nih.gov/pubmed/28645171 http://dx.doi.org/10.1093/bioinformatics/btx364 |
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