I have done several assemblies via Minia, then summarized them with QUAST, I notice that QUAST provides a nice heatmap representation of data, make it easier to visualize which k is the best candidate. I intend to add to this heatmapped table the traversal stats made post-run by minia (see below)
debugging traversal stats large breadth large depth marked kmer inside traversal traversal ends with dead-ends in-branching large depth in-branching large breadth in-branching other couldn't validate consensuses
I supposed that the lower these values are, the better, but I am not quite sure about this. I have read info in minia short manual but couldn't find explanation.
Thank you very much for helping!