The COMBAT-SARS-CoV-2 Workbench is a all-included environment for SARS-CoV-2 genome data analysis. Users can load data and metadata, and run analyses including:
- genome consensus reconstruction
- variant identification
- SARS-CoV-2 lineage typing (with pangolin) and clade typing (with nextclade)
Data generated from these analyses can be used downstream or shared with databases like GISAID or NCBI's Genbank.
The workbench uses Docker and docker compose to hide the complexity of the software.
This setup was tested on a VM with the following specs.
- 32G RAM
- 4 vCPU
- 250G Disk
Assumption :
- You have
dockeranddocker-composeinstalled on destination instance/VM.
You can use scripts to install docker and deploy this stack.
git clone https://github.com/COMBAT-SARS-COV-2/irida-galaxy-deploy.git ; cd irida-galaxy-deploydocker-compose -f stack.yml up -dThis will take a couple of minutes.. ⌚ ☕
Upon completion, point your browser to:
- REMOTE.SERVER:8080/irida/ to access the main web interface
- REMOTE.SERVER:9090 to access the Galaxy workflow execution environment
The default administrator username and password are:
admin:password1for the main (IRIDA-based) web interfaceadmin:adminfor Galaxy
Workbench code is in GitHub - pvanheus/docker-galaxy-stable
git clone https://github.com/pvanheus/docker-galaxy-stable
cd docker-galaxy-stable/compose
docker-compose -f docker-compose.yml -f docker-compose.singularity.yml -f docker-compose.irida.yml upcd docker-galaxy-stable/compose/galaxy-configurator/templates/irida/plugins
jar tf galaxy-configurator/templates/irida/plugins/sarscov2-artic-illumina-pipeline-plugin-0.1.10.jar
shed-tools install -g http://localhost:90 -a fakekey -t tools.yml