BMC Bioinformatics

Table 5 Indel 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	0.987302	0.988139	12,661	0.994011	0.993572	6381
20 × 30x	0.989490	0.991368	9894	0.996103	0.995849	4137
20 × 60x	0.989477	0.993166	9012	0.997052	0.996892	3114
30 × 15x	0.993222	0.993308	6939	0.996341	0.995970	3951
30 × 30x	0.993277	0.994482	6324	0.997269	0.997177	2856
30 × 60x	0.992232	0.995110	6570	0.997664	0.997566	2453
40 × 15x	0.995176	0.995084	5016	0.997139	0.996838	3095
40 × 30x	0.995033	0.995756	4755	0.997790	0.997649	2345
40 × 60x	0.993734	0.995974	5338	0.998024	0.997841	2125
50 × 15x	0.996197	0.995881	4077	0.997726	0.997257	2576
50 × 30x	0.995982	0.996470	3895	0.998047	0.997816	2126
50 × 60x	0.994690	0.996468	4582	0.998192	0.998016	1949

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

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