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Comprehensive guide to GWAS using SLEMM software, covering data preparation and analysis. Learn essential functions and step-by-step instructions for conducting genome-wide association studies effectively.
Learn 15 frequently used R commands for scripting, data wrangling, visualization, and file handling with dplyr and tidyverse.
Introduces genomic selection for estimating breeding values from genome-wide SNP markers and accelerating genetic gain in animal breeding.
Explore genomic inbreeding through identity by descent, identity by state, and runs of homozygosity, including coefficient calculation and detection of selection signatures and recessive disorders.
Learn how natural and artificial selection leave detectable signatures in SNP patterns, using genetic hitchhiking and population comparisons to locate selected genomic regions.
Explore how SNP data reveal genomic admixture through admixture graphs, ancestry-informative SNPs, and reference-set analysis.
Learn how genome-wide association studies connect SNP genotypes to traits, interpret Manhattan plots, and address false signals through multiple-testing and population-structure corrections.
An introduction to linkage disequilibrium, covering LD blocks, genetic distance, and the D, D′, and r² measures used with SNP data.
An introduction to SNP chip technology, including how chips work, why they are useful, data-handling notes, allele and genotype codes, and chip types.
An introduction to genomics explaining DNA, the genomic revolution, and molecular markers, with particular focus on single nucleotide polymorphism data.
Tutorial on preparing SNP data and using Structure to analyze and visualize population admixture in goat genotypes.
Tutorial on using varLD to detect selection signatures from linkage disequilibrium, covering genotype preparation with PLINK, analysis, and visualization in R.
Master the STRUCTURE Harvester analysis method using Python scripts to determine optimal subpopulation numbers in genomic data, with practical demonstrations and result interpretation guidance.
Learn how to perform DNA paternity testing using SNP markers and PLINK software, from data preparation through results interpretation - with clear step-by-step guidance for beginners.
Master common PLINK error troubleshooting, from file opening issues to chromosome coding problems, with practical solutions for genomic data analysis and R integration.
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