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DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists

Gene expression data generated from multiple biological samples (mutant, double mutant, and wild-type) are often compared via Venn diagram tools. It is of great interest to know the expression pattern between overlapping genes and their associated gene pathways or gene ontology (GO) terms. We develo...

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Autores principales: Sun, Liang, Dong, Sufen, Ge, Yinbing, Fonseca, Jose Pedro, Robinson, Zachary T., Mysore, Kirankumar S., Mehta, Perdeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509638/
https://www.ncbi.nlm.nih.gov/pubmed/31130993
http://dx.doi.org/10.3389/fgene.2019.00421
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author Sun, Liang
Dong, Sufen
Ge, Yinbing
Fonseca, Jose Pedro
Robinson, Zachary T.
Mysore, Kirankumar S.
Mehta, Perdeep
author_facet Sun, Liang
Dong, Sufen
Ge, Yinbing
Fonseca, Jose Pedro
Robinson, Zachary T.
Mysore, Kirankumar S.
Mehta, Perdeep
author_sort Sun, Liang
collection PubMed
description Gene expression data generated from multiple biological samples (mutant, double mutant, and wild-type) are often compared via Venn diagram tools. It is of great interest to know the expression pattern between overlapping genes and their associated gene pathways or gene ontology (GO) terms. We developed DiVenn (Dive into the Venn diagram and create a force directed graph)—a novel web-based tool that compares gene lists from multiple RNA-Seq experiments in a force-directed graph, which shows the gene regulation levels for each gene and integrated KEGG pathway and gene ontology knowledge for the data visualization. DiVenn has four key features: (1) informative force-directed graph with gene expression levels to compare multiple data sets; (2) interactive visualization with biological annotations and integrated pathway and GO databases, which can be used to subset or highlight gene nodes to pathway or GO terms of interest in the graph; (3) Pathway and GO enrichment analysis of all or selected genes in the graph; and (4) high resolution image and gene-associated information export. DiVenn is freely available at http://divenn.noble.org/.
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spelling pubmed-65096382019-05-24 DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists Sun, Liang Dong, Sufen Ge, Yinbing Fonseca, Jose Pedro Robinson, Zachary T. Mysore, Kirankumar S. Mehta, Perdeep Front Genet Genetics Gene expression data generated from multiple biological samples (mutant, double mutant, and wild-type) are often compared via Venn diagram tools. It is of great interest to know the expression pattern between overlapping genes and their associated gene pathways or gene ontology (GO) terms. We developed DiVenn (Dive into the Venn diagram and create a force directed graph)—a novel web-based tool that compares gene lists from multiple RNA-Seq experiments in a force-directed graph, which shows the gene regulation levels for each gene and integrated KEGG pathway and gene ontology knowledge for the data visualization. DiVenn has four key features: (1) informative force-directed graph with gene expression levels to compare multiple data sets; (2) interactive visualization with biological annotations and integrated pathway and GO databases, which can be used to subset or highlight gene nodes to pathway or GO terms of interest in the graph; (3) Pathway and GO enrichment analysis of all or selected genes in the graph; and (4) high resolution image and gene-associated information export. DiVenn is freely available at http://divenn.noble.org/. Frontiers Media S.A. 2019-05-03 /pmc/articles/PMC6509638/ /pubmed/31130993 http://dx.doi.org/10.3389/fgene.2019.00421 Text en Copyright © 2019 Sun, Dong, Ge, Fonseca, Robinson, Mysore and Mehta. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Sun, Liang
Dong, Sufen
Ge, Yinbing
Fonseca, Jose Pedro
Robinson, Zachary T.
Mysore, Kirankumar S.
Mehta, Perdeep
DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists
title DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists
title_full DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists
title_fullStr DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists
title_full_unstemmed DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists
title_short DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists
title_sort divenn: an interactive and integrated web-based visualization tool for comparing gene lists
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509638/
https://www.ncbi.nlm.nih.gov/pubmed/31130993
http://dx.doi.org/10.3389/fgene.2019.00421
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