ASVBM: Structural variant benchmarking with local joint analysis for multiple callsets.

ABSTRACT: Accurate benchmarking of structural variant (SV) detection is essential for advancing the development and application of human whole-genome sequencing (WGS). A fundamental challenge in benchmarking SV detection results is determining whether two SVs represent the same event. Differences in the variation-awareness and strategic implementation of aligners inherently constrain SV detection algorithms that rely on alignment-based approaches. Traditional benchmarking, which primarily focuses on comparing and matching individual variants, makes it difficult to capture the relationships between multiple adjacent variants. We introduced ASVBM, an improved benchmarking framework that introduces the notion of latent positives and leverages a joint analysis and validation strategy based on local vari

SUBMITTER: Mu P 

PROVIDER: S-EPMC12271604 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature