Development of interactive biological web applications with R/Shiny

Brief Bioinform. 2021 Oct 12:bbab415. doi: 10.1093/bib/bbab415. Online ahead of print.ABSTRACTDevelopment of interactive web applications to deposit, visualize and analyze biological datasets is a major subject of bioinformatics. R is a programming language for data science, which is also one of the most popular languages used in biological data analysis and bioinformatics. However, building interactive web applications was a great challenge for R users before the Shiny package was developed by the RStudio company in 2012. By compiling R code into HTML, CSS and JavaScript code, Shiny has made it incredibly easy to build web applications for the large R community in bioinformatics and for even non-programmers. Over 470 biological web applications have been developed with R/Shiny up to now. To further promote the utilization of R/Shiny, we reviewed the development of biological web applications with R/Shiny, including eminent biological web applications built with R/Shiny, basic steps to build an R/Shiny application, commonly used R packages to build the interface and server of R/Shiny applications, deployment of R/Shiny applications in the cloud and online resources for R/Shiny.PMID:34642739 | DOI:10.1093/bib/bbab415

Source: Briefings in Bioinformatics - October 13, 2021 Category: Bioinformatics Authors: Lihua Jia Wen Yao Yingru Jiang Yang Li Zhizhan Wang Haoran Li Fangfang Huang Jiaming Li Tiantian Chen Huiyong Zhang Source Type: research