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. 2015 Jun 4;96(6):894–912. doi: 10.1016/j.ajhg.2015.04.011

Table 1.

Comparison of Methods for Single-Cell Haplotyping and Genotype Inference

Single-Cell Haplotyping
Algorithm Accuracya Coverageb
siCHILD (1D-MF) 99.71% (±0.09% SD) 98.82% (±0.16% SD)
siCHILD (haplarithmisis) 99.99% (±0.02% SD) 96.16% (±0.35% SD)
Merlin (–best) 88.24% (±1.88% SD) 91.16% (±0% SD)
Merlin (–error and–best) 94.46% (±1.22% SD) 91.16% (±0% SD)

Single-Cell Genotype Inference

Algorithm Accuracyc Coveraged

GenCall 90.57% (±1.75% SD) 58.8% (±1.82% SD)
siCHILD (1D-MF) 98.84% (±0.06% SD) 98.95% (±0.19% SD)
siCHILD (haplarithmisis) 99.07% (±0.05% SD) 91.71% (±0.56% SD)
1D-MF and haplarithmisis consensus 99.08% (±0.03% SD) 91.22% (±0.54% SD)
a

Average accuracies of maternal haplotypes in single cells to their matching multi-cell DNA sample. Specifically, to compute the accuracies, the single-cell Merlin-inferred haplotypes were compared with multi-cell Merlin-inferred haplotypes; and similarly, single-cell siCHILD-inferred haplotypes were compared with multi-cell siCHILD-inferred haplotypes. As a control, the concordance between multi-cell siCHILD-inferred haplotypes and multi-cell Merlin-inferred haplotypes is >99.99%.

b

Percentage of SNPs genome wide with a haplotype call.

c

Average accuracies of inferred genotypes of single cells to the multi-cell DNA genotype.

d

Percentage of SNPs genome wide with an inferred genotype call.