Reconstructing past changes in locus-specific recombination rates

BMC Genomic Data

Table 1 Assignment accuracy using linear discriminant analysis on quartets

	Mean	Variance	Maximum	Combined
S	0.36	0.32	0.36
R _min	0.43	0.45	0.38
*rmmg*	0.43	0.43	0.45
nHaps	0.60	0.59	0.33
HapDiv	0.59	0.57	0.33
Wall’s B	0.41	0.47	0.34
Wall’s Q	0.40	0.37	0.33
Hudson’s C	0.43	0.42	0.33
Z _nS	0.48	0.34	0.48
All unscaled	0.66	0.65	0.52	0.68
S x R _min	0.36	0.36	0.34
S x *rmmg*	0.43	0.41	0.45
S x nHaps	0.32	0.36	0.36
S x HapDiv	0.32	0.36	0.36
S x Wall’s B	0.37	0.33	0.31
S x Wall’s Q	0.37	0.34	0.32
S x Hudson’s C	0.42	0.37	0.37
S x Z _nS	0.42	0.34	0.43
All scaled	0.64	0.59	0.53	0.67
All combined				0.71

Proportions of datasets assigned correctly to constant, linearly increasing and linearly decreasing recombination models using jackknife cross-validation. Values of one-third indicate assignments no better than chance; values approaching one indicate improving assignment rates. 10⁴ datasets consisting of 10-kb of sequence for 100 individuals were generated under each model. Assignments were made using the mean, variance and maximum value of summary statistics for 10³ quartets for each dataset.

ISSN: 2730-6844