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Discover genetics by changing the experiment. Cross pea plants, reveal a Punnett square, map linked genes and watch populations evolve. Tony Crayfish Genetics Primer connects familiar observations to the genetic explanations behind them through illustrations, interactive simulations and measured human variation data. EXPLORE TWELVE LABORATORIES - Mendelian genetics: segregation, independent assortment and expected versus observed offspring. - Beyond Mendel: incomplete dominance, codominance, environmental effects, penetrance, maternal effects and X-linked inheritance. - Genetic mapping: two-point and three-point crosses, recombination and centimorgans. - Epistasis: how interactions between genes change visible traits. - Quantitative genetics: many-gene traits, sources of variation, heritability and parent-offspring or twin comparisons. - Population genetics: Hardy-Weinberg proportions, drift, migration, selection and human genetic diversity. - Inbreeding and relatedness: traditional pedigrees, shared ancestors and the inbreeding coefficient. - GWAS: association signals, sample size, multiple testing and population confounding. - Polygenic scores: build a score and explore why predictions can transfer poorly between populations. - Coalescence: trace physical gene copies backward to shared ancestors. - Effective population size: connect breeding patterns, bottlenecks, drift and sequence diversity. - LD blocks and genome history: watch recombination and bottlenecks change associations among variants. LEARN AT YOUR OWN PACE Take a twelve-chapter animated tour, pause and step backward or forward, then open the corresponding experiment. Reveal genotypes after observing phenotypes. Repeat samples to distinguish expected patterns from chance variation. A REFERENCE ALWAYS NEARBY The searchable glossary explains 168 terms and phrases, including statistical concepts, abbreviations and scientific symbols. Definitions connect directly to the app's examples and make important distinctions clear. REAL DATA, CLEAR ASSUMPTIONS Human-variation explorers use bundled published data. Simulations state their assumptions and distinguish illustrative results from measured observations. Source links support further reading. Built for curious learners, students and educators on iPhone, iPad and Mac. Experiments and the glossary work offline; external source links require an internet connection. No account, advertising, analytics or genetic-data upload. For education: the app does not analyze your DNA or provide medical predictions.