This small tutorial will explain to you how to install and run Sarek on a small sample test data on the Swedish UPPMAX cluster rackham.
For more information about rackham, follow the rackham user guide.
This workflow itself needs little installation.
You need to install [Nextflow][nextflow-link] and put it somewhere in your $PATH
Sarek use Singularity containers to package all the different tools.
All containers, and all Reference files are already stored on UPPMAX.
Nextflow will automatically fetch Sarek from GitHub when launched if SciLifeLab/Sarek is specified as the workflow name.
For more information, follow the reference files documentation. The following tutorial explain how to run Sarek on a small dataset using a small reference.
# Connect to rackham
> ssh -AX [USER]@rackham.uppmax.uu.se
# Install Nextflow
> cd $HOME
> curl -s https://get.nextflow.io | bash
# Move Nextflow into your $PATH
> mv nextflow $HOME/bin
# Connect to an interactive session
> interactive -A [PROJECT] -p node
# Set up this two variables as asked by UPPMAX
> export NXF_LAUNCHBASE=$SNIC_TMP
> export NXF_TEMP=$SNIC_TMP
# Set up the cache directory for Singularity Images
> export NXF_SINGULARITY_CACHEDIR=$HOME/.singularity
# make a test directory
> mkdir test_Sarek
> cd test_Sarek
# Build the smallGRCh37 reference
> nextflow run SciLifeLab/Sarek/build.nf --download --genome smallGRCh37 --project [PROJECT]
# Test the workflow on a test tiny set
> nextflow run SciLifeLab/Sarek --test --genome smallGRCh37 --noReports --project [PROJECT]# Connect to rackham
> ssh -AX [USER]@rackham.uppmax.uu.se
# Update Sarek
> nextflow pull SciLifeLab/SarekTo use Sarek on rackham you will need to use the slurm profile.
# Connect to rackham
> ssh -AX [USER]@rackham.uppmax.uu.se
# Run the workflow directly on the login node
> nextflow run SciLifeLab/Sarek/main.nf --project [PROJECT] -profile slurm