The compute cluster at the SWC has cellfinder preinstalled, and so the instructions vary slightly from that in the Installation with SLURM section.
On the SWC cluster, no software needs to be installed, as cellfinder can be loaded with
module load cellfinder.
Cellfinder can be used interactively, by starting an interactive job:
srun -p gpu --gres=gpu:1 -n 20 -t 0-24:00 --pty --mem=40G bash -i
module load cellfinder
And then running cellfinder as per the User guide.
It is recommended to use cellfinder by using the batch submission system. This has many advantages:
Your analysis is reproducible (you have a script showing exactly what you did)
You don't need to wait for computing resources to become available (once submitted, the job will wait until it can be run)
If for any reason the analysis is interrupted, you can easily restart
You don't need to keep a connection to the cluster open
You can easily receive email updates when the job starts and finishes.
An example batch script is given below, but it is recommended to familarise yourself with the batch submission system before trying to optimise cellfinder.
#!/bin/bash#SBATCH -p gpu # partition (queue)#SBATCH -N 1 # number of nodes#SBATCH --mem 40G # memory pool for all cores#SBATCH --gres=gpu:1#SBATCH -n 10#SBATCH -t 1-0:0 # time (D-HH:MM)#SBATCH -o cellfinder.out#SBATCH -e cellfinder.err#SBATCH --mail-type=ALL#SBATCH --email@example.com_file='/path/to/signal/channel'background_file='path/to/background/channel'output_dir='/path/to/output/directory'echo "Loading cellfinder environment"module load cellfinderecho "Running cellfinder"# Just an example. See the user guide for the specific parameterscellfinder -s $cell_file -b $background_file -o $output_dir -v 5 2 2 --orientation psl