Comments (2)
Hi @nriareal
It's hard to say based on the number of reads alone.
The key contributor to RNA-Bloom's peak memory usage for short-read assembly is the number of unique k-mers in the reads.
I suggest you try to run the assembly. After K-mer counting, RNA-Bloom will fail when there isn't enough RAM to construct the Bloom filters.
Ka Ming
from rna-bloom.
Related Issues (20)
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from rna-bloom.