FocalSV enables target region–based structural variant assembly and refinement using single-molecule long-read sequencing data

Table 3.

Large deletions and insertions (≥50 bp) calling performance across three CLR data sets

Library Metric FocalSV (target) FocalSV (auto) PAV SVIM-asm Dipcall cuteSV SVIM pbsv Sniffles2
DEL CLR_L1 Precision 91.76% 93.32% 81.51% 88.51% 82.40% 92.04% 91.80% 93.99% 92.49%
Recall 94.17% 91.59% 86.88% 86.10% 21.04% 89.38% 91.70% 91.89% 91.81%
F1 92.95% 92.45% 84.11% 87.29% 33.52% 90.69% 91.70% 92.92% 92.15%
GT concordance 98.76% 98.73% 96.00% 95.23% 85.45% 98.64% 97.90% 96.64% 98.68%
CLR_L2 Precision 92.03% 93.43% 91.21% 92.01% 88.81% 91.43% 93.40% 93.29% 92.93%
Recall 94.83% 93.97% 89.02% 91.72% 86.95% 91.98% 93.90% 92.95% 92.23%
F1 93.41% 93.70% 90.10% 91.86% 87.87% 91.70% 93.60% 93.12% 92.57%
GT concordance 98.72% 98.99% 98.39% 98.46% 94.36% 99.29% 98.60% 97.80% 97.37%
CLR_L3 Precision 92.45% 93.08% 88.32% 90.60% 83.06% 92.22% 93.00% 92.56% 94.08%
Recall 92.54% 92.15% 84.35% 84.28% 46.33% 80.10% 79.30% 91.30% 78.33%
F1 92.50% 92.61% 86.29% 87.33% 59.48% 85.74% 85.60% 91.93% 85.48%
GT concordance 97.24% 97.68% 95.65% 96.17% 84.27% 97.76% 98.80% 96.78% 96.00%
Overall Precision 92.08% 93.28% 87.01% 90.37% 84.76% 91.90% 92.73% 93.28% 93.17%
Recall 93.85% 92.57% 86.75% 87.37% 51.44% 87.15% 88.30% 92.05% 87.46%
F1 92.95% 92.92% 86.83% 88.83% 60.29% 89.38% 90.30% 92.66% 90.07%
GT concordance 98.24% 98.47% 96.68% 96.62% 88.03% 98.56% 98.43% 97.07% 97.35%
INS CLR_L1 Precision 89.15% 87.90% 72.05% 80.21% 69.61% 86.78% 92.73% 93.15% 88.02%
Recall 92.84% 90.82% 91.18% 89.95% 20.77% 86.12% 71.20% 79.78% 86.65%
F1 90.96% 89.34% 80.49% 84.80% 32.00% 86.45% 80.55% 85.94% 87.33%
GT concordance 96.94% 97.66% 91.75% 92.00% 68.00% 98.04% 61.70% 87.56% 96.72%
CLR_L2 Precision 87.98% 84.74% 84.15% 84.62% 66.76% 83.15% 62.85% 86.10% 81.14%
Recall 93.52% 93.45% 91.76% 93.32% 88.13% 91.88% 27.65% 77.90% 80.89%
F1 90.67% 88.88% 87.79% 88.75% 75.97% 87.30% 38.40% 81.80% 81.02%
GT concordance 97.02% 98.82% 95.87% 96.77% 67.60% 98.97% 44.11% 89.52% 94.97%
CLR_L3 Precision 89.59% 87.17% 78.91% 81.51% 60.40% 88.16% 91.67% 87.57% 89.51%
Recall 91.44% 91.48% 91.71% 90.40% 47.28% 79.83% 75.48% 79.93% 70.42%
F1 90.51% 89.27% 84.83% 85.72% 53.04% 83.79% 82.79% 83.58% 78.83%
GT concordance 95.07% 96.21% 89.24% 89.86% 54.27% 96.23% 87.68% 88.65% 92.63%
Overall Precision 88.91% 86.60% 78.37% 82.11% 65.59% 86.03% 82.42% 88.94% 86.22%
Recall 92.60% 91.92% 91.55% 91.22% 52.06% 85.94% 58.11% 79.20% 79.32%
F1 90.71% 89.16% 84.37% 86.42% 53.67% 85.85% 67.25% 83.77% 82.39%
GT concordance 96.34% 97.56% 92.29% 92.88% 63.29% 97.75% 64.50% 88.58% 94.77%
  • The table presents recall, precision, F1 score (in %), and genotype accuracy (measured by genotype concordance) for all benchmarked SV callers. The highest scores for recall, precision, F1, and genotype accuracy are highlighted in bold. Additionally, the overall average performance for each SV type and library is summarized at the bottom of the table. Benchmarking was conducted using Truvari with the following parameter settings: p = 0.5, P = 0.5, r = 500, and O = 0.01.

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  1. Genome Res. 35: 2252-2272

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