Cargando…

GraphBio: A shiny web app to easily perform popular visualization analysis for omics data

Background: Massive amounts of omics data are produced and usually require sophisticated visualization analysis. These analyses often require programming skills, which are difficult for experimental biologists. Thus, more user-friendly tools are urgently needed. Methods and Results: Herein, we prese...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Tianxin, Wang, Zelin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490469/
https://www.ncbi.nlm.nih.gov/pubmed/36159985
http://dx.doi.org/10.3389/fgene.2022.957317
_version_ 1784793092086300672
author Zhao, Tianxin
Wang, Zelin
author_facet Zhao, Tianxin
Wang, Zelin
author_sort Zhao, Tianxin
collection PubMed
description Background: Massive amounts of omics data are produced and usually require sophisticated visualization analysis. These analyses often require programming skills, which are difficult for experimental biologists. Thus, more user-friendly tools are urgently needed. Methods and Results: Herein, we present GraphBio, a shiny web app to easily perform visualization analysis for omics data. GraphBio provides 15 popular visualization analysis methods, including heatmap, volcano plots, MA plots, network plots, dot plots, chord plots, pie plots, four quadrant diagrams, Venn diagrams, cumulative distribution curves, principal component analysis (PCA), survival analysis, receiver operating characteristic (ROC) analysis, correlation analysis, and text cluster analysis. It enables experimental biologists without programming skills to easily perform popular visualization analysis and get publication-ready figures. Conclusion: GraphBio, as an online web application, is freely available at http://www.graphbio1.com/en/ (English version) and http://www.graphbio1.com/ (Chinese version). The source code of GraphBio is available at https://github.com/databio2022/GraphBio.
format Online
Article
Text
id pubmed-9490469
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-94904692022-09-22 GraphBio: A shiny web app to easily perform popular visualization analysis for omics data Zhao, Tianxin Wang, Zelin Front Genet Genetics Background: Massive amounts of omics data are produced and usually require sophisticated visualization analysis. These analyses often require programming skills, which are difficult for experimental biologists. Thus, more user-friendly tools are urgently needed. Methods and Results: Herein, we present GraphBio, a shiny web app to easily perform visualization analysis for omics data. GraphBio provides 15 popular visualization analysis methods, including heatmap, volcano plots, MA plots, network plots, dot plots, chord plots, pie plots, four quadrant diagrams, Venn diagrams, cumulative distribution curves, principal component analysis (PCA), survival analysis, receiver operating characteristic (ROC) analysis, correlation analysis, and text cluster analysis. It enables experimental biologists without programming skills to easily perform popular visualization analysis and get publication-ready figures. Conclusion: GraphBio, as an online web application, is freely available at http://www.graphbio1.com/en/ (English version) and http://www.graphbio1.com/ (Chinese version). The source code of GraphBio is available at https://github.com/databio2022/GraphBio. Frontiers Media S.A. 2022-09-07 /pmc/articles/PMC9490469/ /pubmed/36159985 http://dx.doi.org/10.3389/fgene.2022.957317 Text en Copyright © 2022 Zhao and Wang. https://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
Zhao, Tianxin
Wang, Zelin
GraphBio: A shiny web app to easily perform popular visualization analysis for omics data
title GraphBio: A shiny web app to easily perform popular visualization analysis for omics data
title_full GraphBio: A shiny web app to easily perform popular visualization analysis for omics data
title_fullStr GraphBio: A shiny web app to easily perform popular visualization analysis for omics data
title_full_unstemmed GraphBio: A shiny web app to easily perform popular visualization analysis for omics data
title_short GraphBio: A shiny web app to easily perform popular visualization analysis for omics data
title_sort graphbio: a shiny web app to easily perform popular visualization analysis for omics data
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490469/
https://www.ncbi.nlm.nih.gov/pubmed/36159985
http://dx.doi.org/10.3389/fgene.2022.957317
work_keys_str_mv AT zhaotianxin graphbioashinywebapptoeasilyperformpopularvisualizationanalysisforomicsdata
AT wangzelin graphbioashinywebapptoeasilyperformpopularvisualizationanalysisforomicsdata