add instructions for docker image and docker desktop

README.md

@@ -81,6 +81,18 @@ On **Fedora** you may need [`opencv-devel`](https://src.fedoraproject.org/rpms/o
 yum install opencv-devel
 ```
 
+## Docker Hub
+
+You can also run VoltRon from a container already available in [Docker Hub](https://hub.docker.com/repository/docker/amanukyan1385/rstudio-voltron/general). The docker image is based on the [Rocker Project](https://rocker-project.org/) and can be run from the terminal like below: 
+
+```
+docker run --rm -ti -e PASSWORD=<yourpassword> -p 8787:8787 amanukyan1385/rstudio-voltron:main
+```
+
+Then, start the RStudio session from the browser at `http://localhost:8787/` and enter `rstudio` as username and `<yourpassword>` as password. 
+
+See [here](https://github.com/BIMSBbioinfo/VoltRon/blob/main/inst/extdata/docker_desktop_instructions.md) for more instructions on how to run the container using [Docker Desktop](https://www.docker.com/products/docker-desktop/).
+
 ## Tutorials
 
 Please see the [Explore](https://artur-man.github.io/VoltRon/tutorials.html) section in the VoltRon website for tutorials, example scripts and analysis found in the [preprint](https://www.biorxiv.org/content/10.1101/2023.12.15.571667v1). Tutorials include links for accessing necessary data to run scripts across all tutorials. 

inst/extdata/docker_desktop_instructions.md

@@ -0,0 +1,19 @@
+## Docker Desktop Instructions 
+
+1. Install Docker Desktop application from [https://www.docker.com/products/docker-desktop/](https://www.docker.com/products/docker-desktop/).
+
+2. Pull the docker image from Docker Hub using the following command on the terminal:
+
+```
+docker pull amanukyan1385/rstudio-voltron:main
+```
+
+3. Open Docker Deskop app and go to `Images`
+
+4. Find `amanukyan1385/rstudio-voltron:main` and click `Run` on the right. 
+
+5. Enter `8787` to Ports, `PASSWORD` to `Variable` and `yourpassword` (you can also give a custom password) to `Value` under Environment variables. 
+
+6. Click `Run`
+
+7. Start the RStudio session from the browser at `http://localhost:8787/` and enter `rstudio` as username and `yourpassword` as password.