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dshechter avatar dshechter commented on July 24, 2024

Additional suggestion to increase the RAM allocated for this process, e.g.

process {
    withName: 'NFCORE_DIFFERENTIALABUNDANCE:DIFFERENTIALABUNDANCE:RMARKDOWNNOTEBOOK' {
        memory = 200.GB
    }
}

Could work with less than 200, just haven't tried it.

from differentialabundance.

rcorfixs avatar rcorfixs commented on July 24, 2024

I have been running jobs using the attached workflow, and one of my workflows has been struggling to finish as it continues to encounter this error due to there being many samples to analyze. This study with 45 samples hasn't successfully finished the differential abundance pipeline, depite having 256 GBs of memory and 64 CPUs per task when running on an HPC. I've run jobs that have anywhere from 5 to 35 samples in the study, and those compile just fine while only having 24 GBs of memory and 8 CPUs per task. If anyone has any suggestions or potential fixes, I'd love to hear your response.
RNAseq_workflow

from differentialabundance.

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