SVCROWS: A User-Defined Tool for Interpreting Significant Structural Variants in Heterogeneous Datasets
Noah Brown, Charles Danis, Vazira Ahmedjanova, Jennifer L. Güler
SVCROWS improves structural variant interpretation by merging SVs with a size-weighted reciprocal overlap framework, maintaining accuracy and preserving rare genotypes in complex datasets.
Nucleic Acids Research · Dec 4, 2025Peer-reviewedBioinformatics