Hi
Some analysis like DADA2, fragment insertion, Training Classifier and qiime gneiss gradient-clustering take too much time to run. I thing parallel computing may solve this issues, is their any way to do QIIME2 in parallel computing (HPC)
Hi @kulandai1,
Indeed you can. Have you read the documentation for any of these methods? All of them (except gneiss) have parameter settings with names like n_jobs
or threads
— a quick forum search will yield loads of information and discussion about using these parameters. Good luck!
Hi Nicholas
Thanks for your replay
Yes as you mentioned n_jobs and threads does job quicker, but the gneiss is still running more than 48 hours
Is their other way to finish gneiss quick.
Thank you
Yes, filter out low abundance features.
Good luck!