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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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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/. |
format | Online Article Text |
id | pubmed-6509638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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