This Docker image is build on the Biconductor base image and is intended to provide a controlled environment for the exercises accompanying the course Introduction to eQTL analysis.
The docker image contains R and RStudio server and allows use of the RStudio IDE as well as the R console. To use the IDE start the Docker container with
docker run -p 8787:8787 humburg/eqtl-intro
RStudio is then available through your web browser by accessing the
docker host on port 8787. On Linux the docker host is 127.0.0.1 (or localhost)
by default. So the full URL to RStudio is http://localhost:8787. On Mac or Windows,
running boot2docker, you can determine the docker host with the boot2docker ip command.
Log in to RStudio with the username rstudio and password rstudio.
To successfully complete the exercises it is necessary to share files with the local machine. Instructions on how to do this on Windows, Mac and Linux are available here.
Content type
Image
Digest
sha256:7cd9161c3…
Size
1.8 GB
Last updated
almost 10 years ago
docker pull humburg/eqtl-intro