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# Awesome R Shiny [](https://github.com/sindresorhus/awesome)
*[I-BioStat - Tutorial in R-Shiny](https://ibiostat.be/seminar/uploads/introdcution-r-shiny-package-20160330.pdf)
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*[Neon Data Skills - RShiny basics](http://neondataskills.org/R/Create-Basic-Shiny-App-In-R)
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*[How to write web apps in R with Shiny](https://opensource.com/article/17/1/writing-new-web-apps-shiny)
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# Tools
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*[MAVIS](https://github.com/kylehamilton/MAVIS) - MAVIS: Meta Analysis via Shiny.
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*[shinyTreeViewer](https://github.com/KlausVigo/shinyTreeViewer) - A simple treeviewer based on the R packages ape and phangorn.
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*[iTunes Reviews Analysis](https://github.com/amrrs/itunesr_webapp) - iTunes App Store Reviews Text Extractor and Text Analysis Web App
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*[NYT Bar Optimizer](https://github.com/jordanmeyer/nyt-bar-optimizer) - Optimize your liquor cabinet using cocktail recipes from New York Times Cooking
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