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Fig. 5 | Genome Biology

Fig. 5

From: DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection

Fig. 5

a Performance of variant calling using DREAMS-vc compared to state-of-the-art tools Shearwater and Mutect2. The AUC is estimated based on the different negative sets: The cross-patient calls, 500 random validation alterations, and these sets combined (All). The AUC is also estimated for the full group of patients (All), and the patients with stage I and stage II CRC, individually (ns: p ≥ 0.05, *: p < 0.05, **: p < 0.01, ***: p < 0.001, ****: p < 0.0001). b Performance of variant calling using DREAMS-vc, Shearwater, and Mutect2 with various trimmings of the reads (start:end). The performance is compared pair-wise to the 0:0 model, with worse (red) and improved (green) performances indicated

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