BMC Bioinformatics

Table 6 SNV results for HG003 WGS, Hybrid

From: HELLO: improved neural network architectures and methodologies for small variant calling

	DeepVariant			HELLO
	Precision	Recall	Errors	Precision	Recall	Errors
20 × 15x	0.998807	0.998758	8104	0.998937	0.998999	6872
20 × 30x	0.998882	0.998790	7748	0.999233	0.999186	5266
20 × 60x	0.999035	0.998691	7565	0.999418	0.999234	4487
30 × 15x	0.999043	0.998848	7018	0.999061	0.999022	6382
30 × 30x	0.999081	0.998938	6594	0.999306	0.999185	5022
30 × 60x	0.999151	0.998820	6752	0.999443	0.999248	4358
40 × 15x	0.999185	0.998838	6579	0.999165	0.998970	6209
40 × 30x	0.999193	0.999006	5993	0.999354	0.999170	4912
40 × 60x	0.999223	0.998893	6269	0.999473	0.999242	4277
50 × 15x	0.999286	0.998796	6383	0.999243	0.998915	6131
50 × 30x	0.999272	0.999035	5635	0.999387	0.999130	4937
50 × 60x	0.999244	0.998932	6071	0.999500	0.999235	4211

Values in bold indicate the best operating point for each tool for the corresponding metric

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