thiel_yanez_nematostella

Nematostella GPCR deorphanisation paper

https://github.com/jekelylab/thiel_yanez_nematostella

Repository

Nematostella GPCR deorphanisation paper

README.Rmd

---
output: github_document
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
# Please put your title here to include it in the file below.
Title <- "Large-scale deorphanization of Nematostella vectensis neuropeptide GPCRs supports the independent expansion of bilaterian and cnidarian peptidergic systems"
```



[![DOI](https://zenodo.org/badge/547403690.svg)](https://zenodo.org/doi/10.5281/zenodo.10680380)


# About the project: 
- this is a repository from the [Jkely lab](https://www.cos.uni-heidelberg.de/en/research-groups/gaspar-jekely) 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.](https://elifesciences.org/reviewed-preprints/90674v1)

This repository contains the data and code for our paper:

> Daniel Thiel, Luis Alfonso Yaez-Guerra, Amanda Kieswetter, Alison G. Cole, Liesbet Temmerman, Ulrich Technau, Gspr Jkely. _`r Title`_. eLife <    https://doi.org/10.7554/eLife.90674.1>

### How to cite

Please cite this project as:

[![DOI](https://zenodo.org/badge/547403690.svg)](https://zenodo.org/doi/10.5281/zenodo.10680380)

> Authors, (`r format(Sys.Date(), "%Y")`). _Code and source data for `r Title`_. Accessed `r format(Sys.Date(), "%d %b %Y")`. Online at <(https://zenodo.org/doi/10.5281/zenodo.10680380>

## How to work with the data

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](https://cloud.r-project.org/)
itself and optionally [RStudio Desktop](https://rstudio.com/products/rstudio/download/).

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.

### Licenses

**Text, figures, code, data :**  [CC-BY-4.0](http://creativecommons.org/licenses/by/4.0/)

### Acknowledgements

This README is modified after
https://annakrystalli.me/rrresearch/10_compendium.html.

Owner

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