Fig. 3
From: Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing data
Performance of the post-processing step of Hecaton on data simulated from diploid rearranged tomato genomes. Performance metrics are reported as the mean over all 10 simulations with error bars depicting the standard error of the mean. Results of GRIDSS were generated by processing adjacencies in isolation (no dispersed duplications) or by processing them in clusters (dispersed duplications). (a) Recall of CNV calling tools for dispersed duplications, before and after post-processing. The post-processing script of Hecaton recalled dispersed duplications not originally found in the output of Delly, LUMPY, Manta. (b) Overall precision of CNV calling tools, before and after post-processing. The post-processing stage of Hecaton significantly increased the precision of tools by replacing pairs of overlapping false positive deletions and tandem duplications by true positive intrachromosomal dispersed duplications