| BMC Bioinformatics | |
| InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams | |
| Software | |
| Felipe R da Silva1  Gabriela Vaz Meirelles2  Guilherme P Telles3  Henry Heberle4  Rosane Minghim4  | |
| [1] Embrapa Informática Agropecuária, Av. André Tosello, 209, Campinas SP, Brazil;Laboratório Nacional de Biociências, Caixa Postal 6192, Campinas SP, Brazil;Universidade Estadual de Campinas, Instituto de Computação, Av. Albert Einstein, 1251, Campinas SP, Brazil;Universidade de São Paulo, Instituto de Ciências Matemáticas e de Computação, Av. Trabalhador São-carlense, 400, São Carlos SP, Brazil; | |
| 关键词: Venn diagram; Edwards-Venn diagram; Interaction; Set-unions; | |
| DOI : 10.1186/s12859-015-0611-3 | |
| received in 2015-01-28, accepted in 2015-05-06, 发布年份 2015 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundSet comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited.ResultsWe have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains.ConclusionsInteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.
【 授权许可】
Unknown
© Heberle et al.; licensee BioMed Central. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202311107646584ZK.pdf | 1021KB |
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