mgymrek/docker-reproducibility-example repository overview

⁠docker-reproducibility-example

Example of providing a docker container for reproducible analyses. This repository is intended to show how Docker can be used to easily reproduce figures, results, etc. from computational publications. The R scripts and data examples are taken or modified from [Transcriptome Sequencing from Diverse Human Populations Reveals Differentiated Regulatory Architecture] (http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004353⁠) (see below) and are not my original work.

⁠Running the docker

docker run -p 49000:8787 -d mgymrek/docker-reproducibility-example

(You can replace 49000 with another open port if you want.) Navigate in your web browser to http://0.0.0.0:49000⁠. This will open up rstudio. The username and password are both "guest". You can open files in the scripts/ directory and run them to reproduce figures S7B and S1 from Martin et al.

⁠Running on a Mac

If you are running on a Mac, you should have already installed, initialized, and started boot2docker using the instructions here⁠. Instructions are the same as above, except instead of using "0.0.0.0" as the IP address, run:

boot2docker ip

to get the IP, then navigate in the browser to $IP:49000.

⁠Code

Note: posted R code is a modified version of the code posted by the authors of Martin et al: [Transcriptome Sequencing from Diverse Human Populations Reveals Differentiated Regulatory Architecture] (http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004353⁠). Original code can be found here⁠. Code is posted with submission from the original authors. Data files were copied from their site.

⁠Notes

• You might get an rstudio error "Error in plot.new() : figure margins too large" if the plot area is too small (e.g. if you're using a small screen or if you squished the plot area to be smaller). In that case, enlarge the plot area and run again.
• All the data required was provided in this docker. Ideally the data would be separate from the code in either another data container or mounted to a directory when you run docker. I didn't do that here because this issue⁠ doesn't allow mounting whole directories on OSX. If that is fixed I might update this.