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Fig. 6 | Genome Biology

Fig. 6

From: Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing

Fig. 6

Recall and precision of SVs commonly called between a pair of SV detection algorithms for the INS category. INSs, called from the indicated algorithms, were filtered with the minimum number of reads supporting the called SVs, indicated with the suffix number of the algorithm name. The INSs overlapping between the filtered SV sets from a pair of the indicated algorithms were selected, and the recall and precision of the selected INSs were determined. Recall and precision percentages are presented with an intervening slash, and the recall/precision values for the simulated and real data are indicated in the upper and lower lines of each cell, respectively. Results for the real data represent the mean values of the values determined with four different NA12878 datasets (three PacBio datasets for long reads). The recall/precision values for the individual algorithm are indicated with blue letters and a white background. The data contained in the top 20th percentile of the combined precision scores (see the “Methods” section for details) for the simulated and real data are highlighted with a red background, and the next data contained in the top 21st to 50th percentile of the combined precision scores are shown with a pale red background. “–” indicates undetermined data

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