DeNovoCNN

DeNovoCNN is a deep learning approach to call de novo mutations (DNMs) on whole-exome (WES) and whole-genome sequencing (WGS) data. DeNovoCNN uses trio recalibrated BAM/CRAM + VCF (or tab-separated list of variants) files to generate image-like genomic sequence representations and detect DNMs with high accuracy.