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Learn essential R commands for data manipulation, visualization, and file handling, focusing on dplyr and tidyverse packages in RStudio. Ideal for beginners seeking to enhance their R programming skills.
Explore genomic selection theory, from traditional breeding values to modern techniques, enhancing genetic gain in populations. Learn methodologies for standard and single-step genomic selection.
Explore genomic inbreeding, runs of homozygosity, and their applications in detecting selection signatures and recessive disorders. Learn key concepts like identity-by-descent and inbreeding coefficients.
Learn about selection signatures in genomics, including genetic hitchhiking, types, detection methods, and analysis across populations. Ideal for beginners interested in SNP data and genomic concepts.
Explore genomic admixture in crossbreeding populations, covering definitions, interpretation, and practical considerations like ancestry informative SNPs. Ideal for beginners in genomics and SNP data analysis.
Explore genome-wide association studies (GWAS) in genomics, covering key concepts, applications, statistical challenges, and population structure considerations for pinpointing trait-influencing genomic regions.
Explore linkage disequilibrium in genomics, its importance, metrics, and applications. Learn about LD block structure, genetic distance, and how it reveals population history and selection pressures.
Beginner-friendly introduction to SNP chip technology in genomics, covering basic concepts, data handling, allele coding, and chip types. Ideal for those new to genomics seeking to understand SNP data analysis.
Explore DNA basics, genomic revolution, and markers in this beginner-friendly introduction to genomics theory, covering fundamental concepts and their applications in modern science.
Learn to use Structure software for population admixture analysis using SNP data. Covers data preparation, project setup, analysis execution, and result visualization with a goat genotype example.
Comprehensive tutorial on using varLD software for analyzing selection signatures based on linkage disequilibrium, covering prerequisites, data preparation, execution, and result visualization.
Master the STRUCTURE Harvester analysis method using Python scripts to determine optimal subpopulation numbers in genomic data, with practical demonstrations and result interpretation guidance.
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.
Unraveling genetic relationships: parent-child vs. ancestry. Explore how genetic coefficients differ between direct lineage and population-wide ancestry, debunking misconceptions and clarifying genomic analysis methods.
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.
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