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Some stats from an example run using Input data:
Run:
Final output:
The Generally speaking I think the total number of variants across different scoring files and the number of variants in your target genomes are the biggest factors that increase storage space. In If you test this run with singularity you'll probably find the work directory is larger, because nextflow will stage the singularity images there by default. They shouldn't be more than ~3GB. |
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Great, thank you! Is there a way to set a custom /tmp directory? The system /tmp directory I have is not large enough. I tried to reset TMP, TMPDIR, SINGULARITYENV_TMP, and SINGULARTIYENV_TMPDIR to a custom directory but I'm still getting |
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That didn't but I did some more googling and found this. So I installed squashfs-tools. Different error messages now, but another
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I'm dealing with limited storage space so I'm trying to profile the space I need to run the pipeline. What is the storage space needed for an average run of the pipeline? What are the storage space needs a function of—the genotype data, the scores calculated, etc?
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