The most interesting part is the genotype file which is generated, this
file contains one SNP per row, with columnsSNP_name_1 SNP_name_2 Position Allele1 Allele2 P_1_11 P_1_12 P_1_22 P_2_11 P_2_12 P_2_22 ...
where SNP_name_1 = SNP_name_2 is SNP name, Position is SNP position,
Allele1 and Allele2 are reference and effective alleles; P_i_jk is the
probability that person i has genotype jk; these are (1 0 0) for
genotype Allele1Allele1, (0 1 0) for genotype Allele1Allele2,
(0 0 1) for genotype Allele2Allele2, and (0 0 0) if genotype is missing
Strand file contains the SNP name, position and strand, as generated by
as.character(data@gtdata@strand)
; this is up to user if this
slot contains correct data (see eg convert.snp.illumina on how
to import strand info)