Explore inheritance patterns, genetic mapping, and modern genomics. Cross organisms in Punnett squares, perform three-point crosses, and simulate genetic drift in finite populations. These interactive simulations cover classical Mendelian genetics, population genetics, quantitative trait loci mapping, genome-wide association studies, and cutting-edge sequencing technologies.
Build Punnett squares and explore dominance, recessiveness, and epistasis. Trace inheritance through pedigrees and perform genetic linkage crosses to map gene order.
Cross organisms and build Punnett squares—explore dominance, recessiveness, and epistatic interactions
Perform three-point crosses to map gene order—account for crossover interference in recombination
Trace inheritance through family trees—calculate carrier probabilities for recessive diseases
Simulate genetic drift with the Wright-Fisher model and compute identity by descent coefficients. Watch alleles randomly fix or go extinct in finite populations.
Design F2 and backcross experiments to build genetic maps. Perform interval mapping to identify quantitative trait loci and run genome-wide association studies.
Design F2 or backcross experiments to estimate recombination frequency—build genetic maps from segregation data
Scan the genome for quantitative trait loci—plot LOD scores and identify QTL intervals
Run genome-wide association tests and plot Manhattan plots—adjust sample size to see power increase
Prediction accuracy and portability
Multivariate quantitative genetics
Analyze codon usage bias and watch ribosomes traffic along mRNA. Explore alternative splicing patterns, transcription factor combinatorics, and chromatin state dynamics.
Analyze codon usage bias and tRNA adaptation—compute CAI and see translation efficiency
Watch ribosomes traffic along mRNA—see polysome formation and translation kinetics
Splice exons together with different patterns—explore constitutive and alternative splicing mechanisms
Combine transcription factor binding sites—see how combinatorial TF logic controls gene expression
Toggle chromatin between open and closed states—watch transcriptional bursting from stochastic promoter switching
Simulate DNA sequencing reads with errors and quality scores. Call variants, phase haplotypes, and assemble genomes from de Bruijn graphs.
Design CRISPR guide RNAs and explore on-target vs off-target editing. Model NHEJ and HDR repair outcomes from double-strand breaks.