Cellular and Molecular Biology

Build a CRISPR guide-RNA prediction model by combining protein structure, chromatin data, and public screen results to score editing efficiency.

Reanalyze public scRNA-seq data to find new macrophage states in long COVID lung tissue, build clustering skills, and test cell signatures.

Map promoter G-quadruplex motifs in cancer-driver genes, then test oligo melting behavior to build skills in sequence analysis and DNA biophysics.

Measure biofilm growth on common surface coatings and turn crystal violet stain into smartphone data for clear comparisons.

Build a reaction-diffusion model of cortical patterning and test how Wnt, SHH, and BMP antagonism shape cell-type maps in organoid data.

Use public RNA-seq data to find ALS splicing patterns, build a cross-cohort validation test, and practice transcriptomics analysis.

Build and test polygenic risk scores to measure ancestry bias, compare prediction accuracy, and practice genomic data analysis with public datasets.

Test how aspirin or chitosan changes seedling disease response, then pair lesion measurements with public gene expression data to build analysis skills.

Measure how caffeine, melatonin, and green tea compounds change planarian regeneration, then connect your image data to stem cell atlases.

Measure beetroot pigment leakage with smartphone colorimetry, then model membrane damage from heat, ethanol, surfactants, and microplastics.