- this is a repository from the Jékely lab containing source data and code documentation for the paper Large-scale deorphanization of Nematostella vectensis neuropeptide GPCRs supports the independent expansion of bilaterian and cnidarian peptidergic systems.
This repository contains the data and code for our paper:
Daniel Thiel, Luis Alfonso Yañez-Guerra, Amanda Kieswetter, Alison G. Cole, Liesbet Temmerman, Ulrich Technau, Gáspár Jékely. Large-scale deorphanization of Nematostella vectensis neuropeptide GPCRs supports the independent expansion of bilaterian and cnidarian peptidergic systems. eLife < https://doi.org/10.7554/eLife.90674.1>
Please cite this project as:
Authors, (2024). Code and source data for Large-scale deorphanization of Nematostella vectensis neuropeptide GPCRs supports the independent expansion of bilaterian and cnidarian peptidergic systems. Accessed 21 Feb 2024. Online at <(https://zenodo.org/doi/10.5281/zenodo.10680380>
This resource has been developed using the statistical programming language R. To work with the data and code, you will need installed on your computer the R software itself and optionally RStudio Desktop.
If you would like to use the project, you could open Rstudio in your computer, then go to File > New Project > Version Control > Git. Under repository URL add the URL of this page and save it in a local folder.
The R project will live in the folder (as working directory) where the .Rproj file is saved. All other files and directories will be accessed relative to this working directory. This way the project is portable and self-contained.
The working directory contains this README file, a LICENCE file, a CITATION.cff file, the .gitignore file and the R project file. You can update these files to fit your project.
Text, figures, code, data : CC-BY-4.0
This README is modified after https://annakrystalli.me/rrresearch/10_compendium.html.