RyaBhata: A Shiny R Application for Single Cell Transcriptome Data Analysis and Visualization

Shiny R is an open source platform that allows a framework to develop online applications. With minimal required background in coding principles, a team of researchers at Nationwide Children’s Hospital were able to display and interact with the analysis made of single-cell transcriptome. Shiny R generates visualizations that include UMAP plots and presents features of single-cell RNA and transcriptomic data without extensive training in R programming. Improvements made on this existing technology includes importing data, cell filtration, principle component analysis, clustering, dimensional reduction, merging datasets, and Graphical user interface (GUI)-based generations of gene expression plots. This significantly improves the visualization and analysis of single-cell transcriptome analysis.

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