Don’t reinvent the wheel: making use of shiny extension packages. Join MünsteR for our next meetup!

January 7, 2019

(This article was first published on Shirin's playgRound, and kindly contributed to R-bloggers)

In our next MünsteR R-user group meetup on Tuesday, February 5th, 2019, titled Don’t reinvent the wheel: making use of shiny extension packages., Suthira Owlarn will introduce the shiny package and show how she used it to build an interactive web app for her sequencing datasets.

You can RSVP here:

Shiny is a popular R package for building interactive web apps and dashboards – no web development knowledge required! It’s ease-of-use and extendability makes it great for quick user-friendly presentations of toy projects as well as production-ready data products in various industries.

In our first 2019 meetup, Suthira Owlarn will briefly demo a prototype of BioDEV, a shiny app that addresses a common pain-point in dealing with biological (omics) data sets. It allows interactive and intuitive exploration of user-provided data sets, integration of external data and download of parameterized interactive reports. She will then talk about packages that extend shiny by providing a variety of user interfaces, more advanced user interactions or an application-testing framework. Finally, we will cover some useful tools that aren’t specific to shiny, including an easy way to turn shiny apps into self-contained desktop applications.

About the speaker:

Suthira Owlarn is a biologist at the Max Planck Institute in Münster. After finishing her PhD, she decided to learn a little R and immediately fell in love! Soon, she waved goodbye to the bench and is now having fun diving into the world of data analysis, exploring R packages and building shiny apps.

To leave a comment for the author, please follow the link and comment on their blog: Shirin's playgRound. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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