Anton Korobeynikov
Anton Korobeynikov
@Z-DAI So far there were no changes. Use `--only-assembler.
Hello Thank you for your interest in SPAdes. It's likely an I/O problem at your side. Do you have enough free space available?
Hello This is quite large dataset... :) I will not recommend using BayesHammer on a dataset of such size. Also, have you performed any quality trimming of your data?
@marcomeola Please report this to STRONG authors as this is not part of SPAdes release and not supported by us
Consider upgrading to the latest SPAdes 3.15.4
@Lamm-a will you please post new spades.log?
Yes, you definitely need more RAM for such large datasets. You're having ~15 billion k-mers there.
There is no way to predict the memory usage before the assembly as it depends on many things including the genome size, repeat content, error rate, strain content, etc. Skipping...
> Oh how come that is the case? Pretty simple. We are talking about the # of distinct k-mers here. Also observe that each sequencing error introduces `k` non-genomic k-mers....
Well, you could certainly try to merge less and see what will be the outcome