PScnv: Personalized Self-Normalizing CNV Detection with a Hierarchical Multi-Phase Framework

Read full text
Authors: Wansheng Lv
Cited by: 0

Abstract

PScnv is a bioinformatics tool for detecting Copy Number Variations (CNVs) from WGS, WES, and targeted panel sequencing data.It leverages a baseline reference built from healthy control samples to improve CNV detection accuracy without requiring matched negative controls.

Fields of Study & Subjects

Genomic variations and chromosomal abnormalities Genomics and Phylogenetic Studies Cancer Genomics and Diagnostics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Language
EN