nf-core/configs: wcm
Weill Cornell Medicine, Scientific Computing Unit Slurm cluster profile provided by nf-core/configs
Weill Cornell Medicine Configuration
All nf-core pipelines have been successfully configured for use on the panda cluster at the WCM.
To use, run the pipeline with -profile wcm. This will download and launch the wcm.config which has been pre-configured with a setup suitable for the WCM slurm cluster. Using this profile, a docker image containing all of the required software will be downloaded, and converted to a Singularity image before execution of the pipeline.
Running the workflow on the Pasteur cluster
Nextflow is not installed by default on the WCM cluster.
- Install Nextflow : here
Nextflow manages each process as a separate job that is submitted to the cluster by using the sbatch command.
Nextflow shouldn’t run directly on a login node but on a compute node or lab-specific interactive server when configured as a submit host.
- Run nextflow on a compute node or interactive server with submit host capability:
# Run nextflow workflow
nextflow run \\
nf-core/chipseq \\
-resume \\
-profile test,wcmConfig file
singularityDir = "/athena/elementolab/scratch/reference/.singularity/singularity_images_nextflow"
params {
config_profile_description = 'Weill Cornell Medicine, Scientific Computing Unit Slurm cluster profile provided by nf-core/configs'
config_profile_contact = 'Ashley Stephen Doane, PhD (@DoaneAS)'
igenomes_base = '/athena/elementolab/scratch/reference/igenomes'
}
singularity {
enabled = true
envWhitelist='SINGULARITY_BINDPATH'
cacheDir = "/athena/elementolab/scratch/reference/.singularity/singularity_images_nextflow"
autoMounts = true
}
process {
executor = 'slurm'
queue = 'panda_physbio'
scratch = true
scratch = '/scratchLocal/`whoami`_${SLURM_JOBID}'
}
params {
max_memory = 32.GB
max_cpus = 8
max_time = 24.h
}
