To use, run the pipeline with `-profile uppmax` (one hyphen).
This will download and launch the [`uppmax.config`](../conf/uppmax.config) which has been pre-configured with a setup suitable for the UPPMAX servers.
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.
A local copy of the iGenomes resource has been made available on all UPPMAX clusters so you should be able to run the pipeline against any reference available in the `igenomes.config`.
You can do this by simply using the `--genome <GENOME_ID>` parameter.
This raises the ceiling of available memory from the default of `128.GB` to `256.GB`.
Rackham has nodes with 128GB, 256GB and 1TB memory available.
Note that each job will still start with the same request as normal, but restarted attempts with larger requests will be able to request greater amounts of memory.
All jobs will be submitted to fat nodes using this method, so it's only for use in extreme circumstances.
Applied after main UPPMAX config, it overwrites certain parts of the config and submits jobs to the `devcore` queue, which has much faster queue times.
All jobs are limited to 1 hour to be eligible for this queue and only one job allowed at a time.