Comparative study of tools for copy number variation detection using next-generation sequencing data.

ABSTRACT: Copy number variation (CNV) plays an important role in disease susceptibility as a type of intermediate-scale structural variation (SV). Accurate CNV detection is crucial for understanding human genetic diversity, elucidating disease mechanisms, and advancing cancer genomics. A variety of CNV detection tools based on short sequencing reads from next-generation sequencing (NGS) have been developed. Although many researchers have conducted extensive comparisons of the detection performance of various tools, these studies have not fully considered the comprehensive impact of factors such as variant length, sequencing depth, tumor purity, and CNV types on tools performance. Therefore, we selected 12 widely used and representative detection tools to comprehensively compare their performance on

SUBMITTER: Du R 

PROVIDER: S-EPMC12218993 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature