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Development of interactive biological web applications with R/Shiny.
Jia, Lihua; Yao, Wen; Jiang, Yingru; Li, Yang; Wang, Zhizhan; Li, Haoran; Huang, Fangfang; Li, Jiaming; Chen, Tiantian; Zhang, Huiyong.
Afiliación
  • Jia L; National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
  • Yao W; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Jiang Y; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Li Y; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Wang Z; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Li H; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Huang F; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Li J; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Chen T; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Zhang H; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
Brief Bioinform ; 23(1)2022 01 17.
Article en En | MEDLINE | ID: mdl-34642739
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China