CoalQC - Quality control while inferring demographic histories from genomic data: Application to forest tree genomes
A. B. Patil, S. S. Shinde, R. S, S. B. N, K. CG, N. Vijay
The paper introduces CoalQC, a pipeline for quality control in genomic data to improve demographic history inference, showing that assembly quality and repeat regions affect results in forest trees.
bioRxiv · Mar 3, 2020Evolutionary Biology