Genome-wide association study

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Related lectures (23)

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Genome-wide Association Studies: Statistical Analysis

Explains the statistical analysis of Genome-wide Association Studies and the importance of adjusting for multiple testing.

Estimating R: Multiple Testing and P-values

Explores the estimation of R in multiple testing scenarios and the challenges of P-value calculations.

Genomics: Introduction and Regulatory Networks

Introduces genomics, covers sequencing technologies, genome variation, and explores human genetic linkage maps and RFLP methods.

Genomics Tools in Neuroscience Research

Explores gene regulation, genomics tools, DNA sequencing, and PCR in neuroscience research.

Protein Domains & Interactions

Explores protein interactions, domains, scaffolds, and signaling networks in cellular biology.

Unsupervised Learning: Principal Component Analysis

Covers unsupervised learning with a focus on Principal Component Analysis and the Singular Value Decomposition.

Protein Life Cycle

Covers gene expression, protein life cycle, and genetic code in neuroscience.

Detecting QTL Hotspots in Sparse Regression Models

Focuses on large-scale inference for detecting QTL hotspots in sparse regression models, emphasizing the need to use genomics to understand variation in phenotypes and disease susceptibility.

Genetic Inheritance: Albinism and Mutations

Explores genetic inheritance, albinism, mutations, and phenotypic effects of environmental factors.

DNA: PCR and Sequencing Techniques

Explores DNA engineering through PCR, Sanger sequencing, the Human Genome Project, recombinant DNA, bacterial DNA manipulation, and CRISPR/Cas9.