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Table 4 Wall-clock runtime in hours of different modes of NanoCaller using 16 CPUs on 49× ONT, 35× CCS, and 58× CLR reads of HG002

From: NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks

NanoCaller mode

snps_unphased

snps

Indels

Both

Description

Only SNP calling by NanoCaller deep convolutional network model

“snps_unphased” mode followed by WhatsHap SNP call phasing

Only indel calling by NanoCaller using phased BAM input

“snps” mode, followed by read phasing by WhatsHap, and “indels” mode

ONT

3.8

5.0

12.6

18.4

CCS

2.7

3.2

7.6

11.2

CLR

3.6

4.8