This repository contains R code behind the wildlifedetectR shiny app. wildlifedetectR is an interactive user-friendly tool for undertaking key wildlife forensic and population genetic analyses. The purpose of wildlife detectR is to streamline and standardize the analytical methods typically used in wildlife forensics. The program can generate statistics and reports for individualisation, parentage and species identification tests. Both traditional and genomic markers can be used. It can also be used to generate population genetic statistics and undertake marker filtering to aid in the design of wildlife forensic tools.
To run the app locally yourself, download this repository by clicking Clone or download followed by Download ZIP. Unzip the directory onto your computer and open the file shiny.Rproj in RStudio. You will need to have installed R, Rstudio and the packages listed in the global.R script. To run the app, open the server.R script and click Run.
Alternatively, you can run the app using RStudio Cloud. To do this, first sign up for an RStudio Cloud account and then use this link to access the SWFS 2019 workspace. Open the shiny_wildlifedetectR project and run the app as above. It might take some time to deploy, just be patient. There is no need to have installed anything on your laptop to use this option.
The app may also be available to run here although there are currently restrictions on the number of concurrent users. We only recommend this if all other options fail.
You can access the data required for the workshop using the Google drive sharing link that has been sent to you. Save it somewhere accesible on your computer.
Thank you to Lucy Webster for test data and valuable input.
Please contact Emily Humble or Kyle Ewart with any queries.