Fig. 2
From: Performance evaluation of structural variation detection using DNBSEQ whole-genome sequencing

Statistics of SVs Detected on Ten Datasets With 40 Tools. The circle graph visually represents the number of SVs detected using both DNBSEQ and Illumina datasets across various analytical tools. The outermost circle highlights the tools employed for SV detection, each distinguished by unique colors corresponding to their respective algorithms. The (a) and (b) circles depict the number of SVs identified in the DNBSEQ and Illumina datasets, respectively. The range of SV counts (y-axis) is consistent across the ten concentric circles, with the scale clearly labeled on the outer circle for reference. SV types are represented by distinct colors: DELs in red, DUPs in blue, INSs in purple, INVs in orange, and TRAs in green. RD—read depth; RP—read pair; SR—split read; AS—de novo assembly; CA—combination of approaches; DEL—deletion; DUP—duplication; INS—insertion; INV—inversion; TRA—translocation