RVD2: an ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data

摘要

Motivation: Next-generation sequencing technology is increasingly being used for clinical diagnostic tests. Clinical samples are often genomically heterogeneous due to low sample purity or the presence of genetic subpopulations. Therefore, a variant calling algorithm for calling low-frequency polymorphisms in heterogeneous samples is needed.