The compressed archive contains three files: ####################################################################################### I) A genotyping data file named "DATA.geno" (38,100 rows) ####################################################################################### This file contains genotyping data in the eigenstrat format (http://genepath.med.harvard.edu/~reich/EIGENSTRAT.htm). Briefly, it contains for each SNP in a row the genotypes for all individuals (without delimitation). Genotype are coded as: i) 0 if homozygous for the reference allele; ii) 1 if heterozygous iii) 2 if homozygous for the alternate allele iv) 9 if missing ####################################################################################### II) A individual data file named "ind.details" (794 rows) ####################################################################################### This file contains the names and the population of origin for the 794 genotyped individuals (in the same order as in the DATA.geno file). Individual names are coded as follows: BREED_CODE "_" INDIVIDUAL_ID. Breed Codes are those detailed in the original paper (eg: see Table S1). ####################################################################################### III) A SNP data file named "SNP.details" (38,100 rows; 6 columns) ####################################################################################### This file contains the names of the 38,100 (autosomal) SNPs (in the same order as in the DATA.geno file) which passed our QC criteria. The first column is our working ID, the second column corresponds to the Illumina SNP name (i.e. in the Illumina data sheet), the third column contains the chromosome number, the fourth column corresponds to the physical position (in bases on the UMD3.1 assembly) and the last two columns correspond to the reference and the alternate alleles (Illumina Top format), respectively. ####################################################################################### ###### REFERENCE ####################################################################################### If using this data set (or part of it), please refer to: 1) FLori L, Thévenon S, Dayo GK, Senou M, Sylla S, Berthier D, Moazami-Goudarzi K and Gautier M (2014). Adaptive admixture in the West African hybrid zone: insight from the Borgou population. Molecular Ecology. 2) Gautier M, Laloe D and Mozami-Goudarzi K (2010). Insights into the origin of French cattle from dense SNP data on 47 worldwide breeds. Plos One. 6(1):e13038 3) Gautier M, Flori L, Riebler A, Jaffrézic F, Laloë D, Gut I, Moazami-Goudarzi K and Foulley JL (2009). A whole genome Bayesian scan for adaptive genetic divergence in West African cattle. BMC Genomics. 10:550