UNC’s MS in Bioinformatics & Computational Biology instructs students to wrangle petabyte-scale omics data, build graph neural-networks for drug discovery, and visualize single-cell atlases. Coursework integrates cloud-native workflows, ethics of genomic privacy, and entrepreneurial bootcamps with the KickStart Venture Fund. Practicum teams partner with UNC Lineberger, RTI International, and emerging biotech startups.
Snakemake workflow automating scRNA-seq analysis on AWS
Graph-neural network predicting protein–ligand affinity
Pangenome assembly of antibiotic-resistant bacterial strains
Privacy-preserving federated learning for clinical genomics
Dashboard visualizing epigenomic changes during cell reprogramming
Policy memo on equitable genomic data sharing with tribal nations
Variant-calling pipeline benchmark across cloud platforms
Podcast explaining CRISPR base-editing ethics
Metagenomic study of urban microbiomes on public transit
Machine-learning model annotating non-coding regulatory regions
Grant proposal for AI drug repurposing against neglected diseases
Interactive network map of host–virus protein interactions
White paper on standardizing metadata in multi-omics consortia
Hackathon toolkit for visualizing long-read transcriptomics
Infographic comparing compression algorithms for FASTQ files
Workshop on containerization best practices in bioinformatics
Harness computation to translate big-data biology into health breakthroughs.
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