perSVade

perSVade performs sample-tailored detection and accuracy inference of structural variations, small variants (SNPs and IN/DELs), and read depth-based copy number variations (CNVs) from whole-genome short-read sequencing data to improve SV discovery across eukaryotic genomes.

Key Features:

• Sample-Tailored Pipeline: Tailors calling parameters to individual samples to optimize detection of SVs, SNPs, IN/DELs, and read depth-based CNVs.
• Enhanced Accuracy: Employs sample-specific parameter optimization to improve SV detection accuracy and address limitations of human-centric benchmarks.
• Cross-Species Validation: Demonstrated increased SV calling accuracy across six different eukaryotic species.
• Inferred Accuracy Metrics: Produces inferred accuracy metrics for identified structural variants to report confidence levels.
• Data Integration: Integrates multiple types of genomic data into the variant-calling approach.

Scientific Applications:

• Genetic Diversity and Population Genomics: Detects SVs, small variants, and CNVs to support analyses of genetic variation within and between populations.
• Evolutionary Biology and Adaptation Studies: Enables identification of structural variation relevant to phenotypic variation and adaptive processes.
• Disease Genomics and Variant Interpretation: Provides SV and small-variant calls with confidence metrics to aid studies of genotype–phenotype relationships and disease-associated variants.
• Non-Human and Comparative Genomics: Facilitates structural variation discovery across diverse eukaryotic organisms beyond human-focused methods.

Methodology:

Performs variant calling using a comprehensive approach that integrates multiple types of genomic data and applies a sample-tailored pipeline that optimizes parameters per dataset to enhance detection sensitivity and specificity.