If we want to run miniasm over a set of error-corrected long reads (~99% accuracy),
which parameters would you recommend us to adjust?
as mniasm seems to be optimized for overlapping noisy long reads.
It looked to us the -k (kmer=15bp) and -r (bandwidth=500) in minimap stage,
and -i (min identity [0.05]) and -I (min end-to-end match ratio [0.8]) in miniasm stage, might be worth trying but we are not sure.
Your comments will be highly appreciated.
Hi Heng,
If we want to run miniasm over a set of error-corrected long reads (~99% accuracy), which parameters would you recommend us to adjust? as mniasm seems to be optimized for overlapping noisy long reads. It looked to us the -k (kmer=15bp) and -r (bandwidth=500) in minimap stage, and -i (min identity [0.05]) and -I (min end-to-end match ratio [0.8]) in miniasm stage, might be worth trying but we are not sure. Your comments will be highly appreciated.
Thanks, Yao-Ting