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shinyWGD
'Shiny' Application for Whole Genome Duplication Analysis
View on CRAN: Click
here
Download and install shinyWGD package within the R console
Install from CRAN:
install.packages("shinyWGD")
Install from Github:
library("remotes")
install_github("cran/shinyWGD") Install by package version:
library("remotes")
install_version("shinyWGD", "1.0.0") Attach the package and use:
library("shinyWGD")
Maintained by
Jia Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-13
Latest Update: 2024-11-13
Description:
Provides a comprehensive 'Shiny' application for analyzing Whole Genome Duplication ('WGD') events. This package provides a user-friendly 'Shiny' web application for non-experienced researchers to prepare input data and execute command lines for several well-known 'WGD' analysis tools, including 'wgd', 'ksrates', 'i-ADHoRe', 'OrthoFinder', and 'Whale'. This package also provides the source code for experienced researchers to adjust and install the package to their own server. Key Features 1) Input Data Preparation This package allows users to conveniently upload and format their data, making it compatible with various 'WGD' analysis tools. 2) Command Line Generation This package automatically generates the necessary command lines for selected 'WGD' analysis tools, reducing manual errors and saving time. 3) Visualization This package offers interactive visualizations to explore and interpret 'WGD' results, facilitating in-depth 'WGD' analysis. 4) Comparative Genomics Users can study and compare 'WGD' events across different species, aiding in evolutionary and comparative genomics studies. 5) User-Friendly Interface This 'Shiny' web application provides an intuitive and accessible interface, making 'WGD' analysis accessible to researchers and 'bioinformaticians' of all levels.
How to cite:
Jia Li (2024). shinyWGD: 'Shiny' Application for Whole Genome Duplication Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/shinyWGD. Accessed 24 Oct. 2026.
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