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dc.contributor.authorHEBERLE, H.
dc.contributor.authorMEIRELLES, G. V.
dc.contributor.authorSILVA, F. R. da
dc.contributor.authorTELLES, G. P.
dc.contributor.authorMINGHIM, R.
dc.date.accessioned2019-02-07T23:38:14Z-
dc.date.available2019-02-07T23:38:14Z-
dc.date.created2019-02-07
dc.date.issued2015
dc.identifier.citationBMC Bioinformatics, v. 16, p. 1-7, 2015.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1105705-
dc.descriptionAbstract. Background: Set 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. Results: We 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. Conclusions: InteractiVenn 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.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDiagrama de Venn
dc.subjectDiagrama de Edwards-Venn
dc.subjectVenn diagram
dc.subjectEdwards-Venn diagram
dc.subjectInteraction
dc.subjectSet-unions
dc.titleInteractiVenn: a web-based tool for the analysis of sets through Venn diagrams.
dc.typeArtigo de periódico
dc.date.updated2019-12-19T11:11:11Zpt_BR
dc.description.notesArticle number: 169.
riaa.ainfo.id1105705
riaa.ainfo.lastupdate2019-12-19 -02:00:00
dc.identifier.doi10.1186/s12859-015-0611-3
dc.contributor.institutionHENRY HEBERLE, ICMC/USP; GABRIELA VAZ MEIRELLES, Laboratório Nacional de Biociências, Campinas; FELIPE RODRIGUES DA SILVA, CNPTIA; GUILHERME P. TELLES, IC/Unicamp; ROSANE MINGHIM, ICMC/USP.
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