Parallel processing with BiocParallel in Slurm based cluster does not work with sesame functions.

[harrsha4]

Hello, I am currently working with a reasonably large dataset of EPIC v1 and v2 arrays (> 100 samples) with my institution's compute cluster, which is slurm-based. The issue that I am running into is that despite having already used sesameDataCache() with an up-to-date ExperimentHub package, I am receiving an error stating that the cache is not present. Is there a reason why this error would occur?

Cache sesame data

sesameDataCacheAll()

Get directory with .idat files

idat_dir <- paste(getwd(), "Redacted", sep = "/")

Get QC data for samples

qcs_detection <- openSesame(idat_dir, prep="", func = sesameQC_calcStats, funs = "detection") Error: BiocParallel errors 1 remote errors, element index: 1 120 unevaluated and other errors first remote error: Error in stopAndCache(title): | File idatSignature needs to be cached to be used in sesame. | Please make sure you have updated ExperimentHub and try | > sesameDataCache() | to retrieve and cache needed sesame data. Execution halted

[harrsha4]

Hello, I just wanted to quickly follow up on this issue. Please let me know if you have any experience running Sesame on a slurm-based cluster.