DIY PCR and SNP Genotype Correlation Project
Build a genotype-to-phenotype study with gel electrophoresis, PCR, and basic statistics, while learning how to design clean molecular comparisons.
Build a genotype-to-phenotype study with gel electrophoresis, PCR, and basic statistics, while learning how to design clean molecular comparisons.
Build image-based phenotyping and sequencing skills by comparing wing-vein variation in wild Drosophila from two cities.
Compare single-cell atlases, find conserved fibroblast states, and build an ML gene signature that separates stress-resilient cells across mammals.
Build a tau-spread model, compare connectome-only and microglia-informed predictions, and practice real neuroinformatics and validation.
Reanalyze single-cell RNA data to track blood progenitors, map RNA velocity, and test when fetal hemoglobin switching begins.
Analyze ribosome stalling in ciliates with public Ribo-seq data, then link motif patterns to tRNA pool constraints and evolution.
Measure Daphnia heat-shock survival, compare acclimation groups, and link your results to HSP70 data with Bayesian modeling.
Analyze GEO and ImmPort datasets to link regulatory T cell gene modules with allergic rhinitis symptoms using scRNA-seq and statistics.
Measure plasmolysis in onion cells, fit a simple water-loss model, and compare how different osmolytes change membrane transport behavior.
Build a machine learning model that predicts noncoding variant effects using ENCODE, GTEx, and ClinVar data, then test its accuracy.