isoCNV: in silico optimization of copy number variant detection from targeted or exome sequencing data.

Background: Accurate copy number variant (CNV) detection is especially challenging for both targeted sequencing (TS) and whole-exome sequencing (WES) data. To maximize the performance, the parameters of the CNV calling algorithms should be optimized for each specific dataset. This requires obtaining validated CNV information using either multiplex ligation-dependent probe amplification (MLPA) or array comparative genomic hybridization (aCGH).