Genomics: SNP Detection & Population Stratification

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Genomics: Molecular Basis of Phenotypic Diversity

Delves into the molecular basis of phenotypic diversity, highlighting the role of epigenetics and non-conserved genes in shaping diversity.

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.

Metabolic Engineering: Tools and Concepts

Explores metabolic engineering tools, synthetic biology objectives, and metabolic pathway analysis for understanding cell physiology.

Cell Composition: Metabolites and Macromolecules

Explores cell composition, including macromolecules, metabolites, ribosomes, and ion concentration, in prokaryotic cells like E. coli.

Personalized Medicine: Genetic Variability and Drug Response

Explores personalized medicine, genetic variability, and drug response, emphasizing tailoring treatments based on individual genetic and metabolic profiles.

Singular Value Decomposition

Explores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.

Genomics Tools in Neuroscience Research

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

DNA Replication and Applications

Explores DNA replication, PCR, sequencing techniques, synthetic DNA applications, drug delivery systems, DNA origami, and tissue engineering.

Genomic Variation and Gene Expression

Explores whole genome association studies, eQTL mapping, and genomic variation's impact on gene expression.