Development of interactive biological web applications with R/Shiny

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,...

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Vydané v:Briefings in bioinformatics Ročník 23; číslo 1
Hlavní autori: Jia, Lihua, Yao, Wen, Jiang, Yingru, Li, Yang, Wang, Zhizhan, Li, Haoran, Huang, Fangfang, Li, Jiaming, Chen, Tiantian, Zhang, Huiyong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Oxford University Press 17.01.2022
Oxford Publishing Limited (England)
Predmet:
Applications programs
Bioinformatics
Computational Biology
Data analysis
Data science
Internet resources
Programming Languages
Software
biological database
R
data analysis
biological web application development
Shiny
web server
ISSN:1467-5463, 1477-4054, 1477-4054
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Shrnutí: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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ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbab415