Cellular and Molecular Biology

Test whether autophagy gene duplications track with mammal lifespan by combining phylogenomics, ortholog data, and lifespan analysis.

Build and test a whole-cell model that predicts how nutrient limits shift protein allocation, using public proteomics and careful calibration.

Analyze resting-state brain scans and build graph models that predict treatment response in adolescent depression with real public data.

Build a codon optimization model and test how sequence design affects translation efficiency, RNA structure, and protein expression.

Measure red blood cell fragility across salt gradients, fit a Boyle–van’t Hoff model, and compare cohort patterns with real data.

Analyze public GWAS summary data to compare ancestry signals, map genes, and build real bioinformatics skills in complex trait genetics.

Measure mitochondrial redox activity under stress, compare samples with color tracking, and build kinetics skills for a strong science fair project.

Model how single amino acid tumor mutations change TCR-pMHC binding and test your predictions against IEDB data with molecular dynamics.

Test whether heat stress leaves heritable effects in C. elegans, and learn brood-size scoring, RNAi design, and multigeneration analysis.

Use allele-specific RNA-seq data to test imprinting patterns, control mapping bias, and learn how to spot candidate imprinted genes.