Table 2 Performances (F1 scores in %) of SNP predictions in difficult-to-map regions and Major Histocompatibility Complex (MHC) by NanoCaller, Medaka, Clair, and Longshot on ONT data. These evaluations are performed against v4.2.1 benchmark variants for the Ashkenazim trio (HG002, HG003, and HG004), whereas “HG002 Bonito” and “HG002 R10.3” are different HG002 ONT datasets

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