alemenze / magic_shiny_rnaseq_template

Template for Bulk RNA-seq visualizations with Shiny

Initial RData Processing

To host datasets, first generate an intial RData object containing the initial processing. This reduces the upfront computational burden to allow the focusing on visualization and exploration.

Running the App Locally

This Shiny App has been built in to a docker container for easy deployment. You can build the image yourself (and thereby customize any ports you need) after downloading it:

docker build -t RNASeqTemplate .
docker run -d --rm -p 8080:8080 RNASeqTemplate

And it should be hosted at localhost:8080

Hosting datasets on GCloud

PROJECTID=$(gcloud config get-value project)
PROJECTNAME="ProjectName"
docker build . -t gcr.io/$PROJECTID/$PROJECTNAME

docker push gcr.io/$PROJECTID/$PROJECTNAME

See Deployment.