<img src="man/figures/GeDi.png" align="right" alt="" width="120" /> <!-- README.md is generated from README.Rmd. Please edit that file --> # GeDi <!-- badges: start --> [](https://github.com/AnnekathrinSilvia/GeDi/actions) [](https://github.com/AnnekathrinSilvia/GeDi/commits/devel) [](https://www.tidyverse.org/lifecycle/#stable) [](https://codecov.io/github/AnnekathrinSilvia/GeDi) <!-- badges: end --> The goal of GeDi is to provide a user-friendly platform for exploring and analyzing the results of functional annotation and enrichment analyses. By integrating various enrichment methods and offering interactive visualizations, GeDi aims to streamline the process of interpreting biological data and identifying meaningful patterns within it. Through features like distance score calculation, clustering, and bookmarking, GeDi empowers users to gain deeper insights into their data and make informed decisions in their research endeavors. ## Installation You can install the development version of GeDi from [GitHub](https://github.com/AnnekathrinSilvia/GeDi) with: ``` r install.packages("devtools") devtools::install_github("AnnekathrinSilvia/GeDi") ``` ## Example If you want to give GeDi a testrun on a demo dataset, you can simply launch the Shiny application and load the demo data in the **Data input** panel. To start the Shiny Application, you can use the following code: ``` r library("GeDi") GeDi() ``` ## Usage Overview You can find the rendered version of the documentation of `GeDi` at the project website <https://AnnekathrinSilvia.github.io/GeDi>, created with `pkgdown`. ## Development If you encounter a bug, have usage questions, or want to share ideas and functionality to make this package better, feel free to file an [issue](https://github.com/AnnekathrinSilvia/GeDi/issues). ## Code of Conduct Please note that the GeDi project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms. ## License MIT © Annekathrin Silvia Nedwed