Data, Code and Computational Environment for: Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion

Data The csv file "2023-06-27_data.csv" contains genetic profiles for all olive trees analyzed in the publication: Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion". The genotypes are provided in the GenAlEx format. Code Code is provided in the compressed folder "Tourvas_et_al_Olive". It is structured as a R project and can easily be opened, after decompressing, from the Rstudio interface. If you prefer to review and/or reuse code you can access it from the "analysis" folder inside the "Tourvas_et_al_Olive" folder. Computational Environment A tarball for the Docker image "tourvas_et_al_olive" is also provided. This is the recommended way to reproduce the results of the publication: "Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion". It is assumed that you already have Docker installed on your system. If not, please visit https://docs.docker.com/get-started/ To use it: download the image file tourvas_et_al_olive.tar load it with docker with the command: docker load --input tourvas_et_al_olive.tar then launch the Docker container with the command: docker run --name popgen --rm -dp 8787:8787 -e ROOT=TRUE -e DISABLE_AUTH=true -v "`pwd`":/home/rstudio/working nikostourvas/tourvas_et_al_olive start your favorite web browser and go to: http://localhost:8787/ from the bottomright pane of the Rstudio server click on the directory "Tourvas_et_al_Olive" and open the project by clicking on the "Tourvas_et_al_Olive.Rproj" file launch the scripts inside the "analysis" directory and run them to reproduce results