| Literature DB >> 34642739 |
Lihua Jia1,2, Wen Yao2, Yingru Jiang2, Yang Li2, Zhizhan Wang2, Haoran Li2, Fangfang Huang2, Jiaming Li2, Tiantian Chen2, Huiyong Zhang2.
Abstract
Development 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.Entities:
Keywords: R; Shiny; biological database; biological web application development; data analysis; web server
Mesh:
Year: 2022 PMID: 34642739 DOI: 10.1093/bib/bbab415
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622