I have just installed and tested biobakery workflows with tutorial files and it works for me. It was a bi difficult to install so I created a conda environment file to save my configuration.
Now I am trying to us biobakery workflows with my samples, 32 human microbiota shotgun metagenome samples (64 paired files of 0.7-2GB each).
I used this code:
biobakery_workflows wmgx --input /mnt/d/DATOSSECUENCIACION/MVT-prj10_rendimiento_deportivo/BIKE/ --output /mnt/e/workflows_output --local-jobs 1 --threads 8
For now it takes 12 hours to perform 60/292 tasks, 9 samples.
I am running it in this PC:
Intel(R) Core™ i7-9700K CPU @ 3.60GHz
CPU MHz: 3600.000
CPU MHz máx.: 4900,0000
CPU MHz mín.: 800,0000
Do you know any method to improve my computation speed. Could it be a code problem at --local-jobs and --threads arguments?