Profile: OMICtools offers clinical decision support service. We also specialize in bioinformatics tools. We are expected to serve as a useful didactic resource not only for bioinformaticians, but also for experimental researchers and clinicians. It is a workflow for genomic, transcriptomic, proteomic, and metabolomic data analysis. TrioCNV is a tool designed to jointly detecting copy number variations (CNVs) from whole genome sequencing data in parent-offspring trios. TrioCNV models read depth signal with the negative binomial regression to accommodate over-dispersion and considered GC content and mappability bias. It leverages parent-offspring relationship to apply Mendelian inheritance constraint while allowing for the rare incidence of de novo events. It uses a hidden Markov model (HMM) by combining the two aforementioned models to jointly perform CNV segmentation for the trio.