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YAGOUBI Rim / Game of life Template
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LABOUREL Arnaud authoredLABOUREL Arnaud authored
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.Rhistory 1009 B
# Les données analysées nécessitant beaucoup de RAM, nous allons sélectionner aléatoirement 250000 SNPs et réecrire des fichiers bed, bim, fam
penncath_bed_path = "results/data/penncath.bed"
penncath_bim_path = "results/data/penncath.bim"
penncath_fam_path = "results/data/penncath.fam"
geno <- snpStats::read.plink(penncath_bed_path, penncath_bim_path, penncath_fam_path, select.snps=sample(1:861473, 25000, replace = FALSE ), na.strings = ("-9"))
# Les données analysées nécessitant beaucoup de RAM, nous allons sélectionner aléatoirement 250000 SNPs et réecrire des fichiers bed, bim, fam
penncath_bed_path = "~/Bureau/project_reprod/m2reprod/results/data/penncath.bed"
penncath_bim_path = "~/Bureau/project_reprod/m2reprod/results/data/penncath.bim"
penncath_fam_path = "~/Bureau/project_reprod/m2reprod/results/data/penncath.fam"
geno <- snpStats::read.plink(penncath_bed_path, penncath_bim_path, penncath_fam_path, select.snps=sample(1:861473, 25000, replace = FALSE ), na.strings = ("-9"))