GraphBio: a shiny web app to easily perform popular visualization analysis for omics data
GraphBio: a shiny web app to easily perform popular visualization analysis for omics data
Abstract SummaryHere, 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 implementationGraphBio, as an online web application, is freely available at http://www.graphbio1.com/en/ (English version) and http://www.graphbio1.com/ (Chinese version). Contactdatabio@163.com
Wang Ze-Lin、Zhao Tian-Xin
Department of Bioinformatics, Shuzhi Biotech, LLCDepartment of Pediatric Urology, Guangzhou Women and Children?ˉs Medical Center, National Children?ˉs Medical Center for South Central Region, Guangzhou Medical University||Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children?ˉs Medical Center, National Children?ˉs Medical Center for South Central Region, Guangzhou Medical University
生物科学研究方法、生物科学研究技术计算技术、计算机技术
Wang Ze-Lin,Zhao Tian-Xin.GraphBio: a shiny web app to easily perform popular visualization analysis for omics data[EB/OL].(2025-03-28)[2025-04-27].https://www.biorxiv.org/content/10.1101/2022.02.28.482106.点此复制
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