Literature DB >> 34642739

Development of interactive biological web applications with R/Shiny.

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.
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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


  2 in total

Review 1.  The R Language: An Engine for Bioinformatics and Data Science.

Authors:  Federico M Giorgi; Carmine Ceraolo; Daniele Mercatelli
Journal:  Life (Basel)       Date:  2022-04-27

2.  New Data and New Features of the FunRiceGenes (Functionally Characterized Rice Genes) Database: 2021 Update.

Authors:  Fangfang Huang; Yingru Jiang; Tiantian Chen; Haoran Li; Mengjia Fu; Yazhou Wang; Yufang Xu; Yang Li; Zhengfu Zhou; Lihua Jia; Yidan Ouyang; Wen Yao
Journal:  Rice (N Y)       Date:  2022-04-19       Impact factor: 5.638

  2 in total

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