Fig. 7: Complex SV detection in simulated and real cancer datasets. | Nature Communications

Fig. 7: Complex SV detection in simulated and real cancer datasets.

From: Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data

Fig. 7

a Heatmap shows overall and genotyping (gt) F1 scores of translocation (TRA), inversion (INV), and duplication (DUP) detection for 10 SV calling methods on 9 simulated PacBio Hifi, CLR, and ONT datasets. b Heatmap shows recall and precision scores of somatic deletion (DEL), insertion (INS), translocation (TRA), inversion (INV), and duplication (DUP) detection for 9 SV calling methods on two publicly available sets of Tumor-Normal paired Pacbio CLR and ONT libraries. Empty cells represent analysis that could not be performed (or finished within 14 days of runtime) for the tool in the corresponding row. Source data are provided as a Source Data file.

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