RT Journal Article
SR Electronic
T1 GraphBio: a shiny web app to easily perform popular visualization analysis for omics data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.02.28.482106
DO 10.1101/2022.02.28.482106
A1 Tian-Xin Zhao
A1 Ze-Lin Wang
YR 2022
UL http://biorxiv.org/content/early/2022/03/02/2022.02.28.482106.abstract
AB Summary Here, 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, PCA, survival analysis, 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.Availability and implementation GraphBio, as an online web application, is freely available at http://www.graphbio1.com/en/ (English version) and http://www.graphbio1.com/ (Chinese version).Contact databio{at}163.comCompeting Interest StatementThe authors have declared no competing interest.