Using Snakemake on the HPC Cluster

Setup

• Install snakemake via mamba/conda (see https://snakemake.readthedocs.io/en/stable/getting_started/installation.html)
• In the working folder create a snakemake environment with mamba activate snakemake</cpde>
• Install the cluster-generic tool to submit snakemake files to a cluster from pip with <code>pip install snakemake-executor-plugin-cluster-generic
• Create a generic profile in ~/.config/snakemake/testprofile/config.yaml such as:

executor: slurm jobs: 100

default-resources:

   mem_mb: max(1.5 * input.size_mb, 100)
   account: <ACCOUNT_NAME>
   partition: <PARTITION NAME>

set-threads:

   myrule: max(input.size_mb / 5, 2)

set-resources:

   myrule:
       mem_mb: attempt * 200

Executing a Snakefile Workflow

• Create a Snakefile (see
  • You can over-ride resources with that flag otherwise it will use the values in testprofile
• Run the Snakefile with this command snakemake --profile testprofile -j 1 --executor cluster-generic --cluster-generic-submit-cmd "batch" ...