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Development of interactive biological web applications with R/Shiny.

Lihua JiaWen YaoYingru JiangYang LiZhizhan WangHaoran LiFangfang HuangJiaming LiTiantian ChenHuiyong Zhang
Published in: Briefings in bioinformatics (2021)
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.
Keyphrases
  • data analysis
  • healthcare
  • public health
  • social media
  • autism spectrum disorder
  • machine learning
  • health information