Cellular and Molecular Biology

Use gnomAD, ClinVar, and AlphaMissense to find SNPs that may soften Mendelian disease severity and build advanced variant analysis skills.

Build a time-lapse imaging system and quantify yeast colony shape changes with deep learning, statistics, and phenotype mapping.

Build a pupil-tracking pipeline that links smartphone video features to cognitive load and anxiety, then test how well it predicts self-reports.

Track how LED light colors shift fruit fly sleep and activity, then connect the pattern to clock-gene expression data for stronger analysis.

Build a yeast fluorescence reporter, fit Hill curves, and compare dose-response behavior to literature while learning quantitative colorimetry.

Measure phagocytosis in Tetrahymena with smartphone microscopy and compare how stress, caffeine, and β-glucan change uptake rates.

Measure cytoplasmic streaming in plant cells, test temperature and caffeine effects, and build image-based velocity analysis skills.

Analyze mitochondrial heteroplasmy from public genome data and build a simple age-estimation model while learning variant calling and statistics.

Build a drug repurposing pipeline that matches Parkinson’s gene signatures to reversal candidates and tests binding-pocket signals with AlphaFold.

Use public spatial transcriptomics data to find tumor margin gene patterns, build a boundary-cell score, and test invasion links.