CNVfilteR: an R/Bioconductor package to identify false positives produced by germline NGS CNV detection tools.

ABSTRACT: Germline copy-number variants (CNVs) are relevant mutations for multiple genetics fields, such as the study of hereditary diseases. However, available benchmarks show that all next-generation sequencing (NGS) CNV calling tools produce false positives. We developed CNVfilteR, an R package that uses the single-nucleotide variant calls usually obtained in germline NGS pipelines to identify those false positives. The package can detect both false deletions and false duplications. We evaluated CNVfilteR performance on callsets generated by 13 CNV calling tools on three whole-genome sequencing and 541 panel samples, showing a decrease of up to 44.8% in false positives and consistent F1-score increase. Using CNVfilteR to detect false-positive calls can improve the overall performance of existing

SUBMITTER: Moreno-Cabrera JM 

PROVIDER: S-EPMC9502136 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature