Concept Taxonomy

Genetics: Analysis, Genomics, and Modern Inference

This taxonomy organizes 450 concepts into 12 categories for visualization and navigation.

Category Name	TaxonomyID	Description
Foundation Concepts	FOUND	Core prerequisite concepts that anchor the learning graph: genetic inference, genome organization, gene expression, and population genetics fundamentals
Probabilistic Reasoning	PROB	Bayesian reasoning, probability, statistical testing, and inference methods used in genetic analysis
Pedigree and Inheritance	PED	Pedigree analysis, inheritance patterns, penetrance, expressivity, and non-Mendelian modifications
Genome Structure	GSTR	Chromosome structure, chromatin organization, epigenetics, and genome-level features
Genetic Variation	GVAR	Types of genetic variation: SNPs, indels, CNVs, structural variants, repeats, and transposable elements
Mapping and Linkage	MAP	Genetic and physical mapping, linkage analysis, recombination, and gene discovery strategies
Quantitative Genetics	QUANT	Heritability, variance components, QTL mapping, GWAS, and polygenic traits
Population Genetics	POP	Allele frequencies, Hardy-Weinberg, selection, drift, gene flow, and population structure
Gene Regulation	REG	Transcription regulation, enhancers, noncoding RNA, chromatin state, and gene regulatory networks
Experimental Methods	EXP	Forward/reverse genetics, model organisms, mutagenesis, CRISPR, gene editing, and functional genomics
Genomics and Bioinformatics	BIOINFO	Sequencing technologies, alignment, variant calling, file formats, databases, and computational workflows
Human and Clinical Genetics	CLIN	Human disease genetics, genetic counseling, pharmacogenomics, cancer genetics, precision medicine, and gene therapy
Ethics and Society	ETHICS	Genetic privacy, discrimination, equity, gene editing ethics, DTC testing, and science communication
Frontier Topics	FRONT	CRISPR advancements, single-cell genomics, AI in genomics, pangenomics, and emerging methods