CMU’s Computational Biology BS blends computer science prowess with cutting-edge genomics, proteomics, and systems biology. Students mine multi-terabyte tumor datasets alongside UPMC clinicians, build evolutionary models of viral escape, and—thanks to Pittsburgh’s biotech boom—intern at CRISPR startups pioneering cell therapies. A required course on scientific reproducibility trains you to write robust pipelines using Snakemake and Docker, preparing graduates for both PhD tracks and biotech R&D.
Deep-variant calling pipeline optimized for ultra-long Oxford Nanopore reads
Integrative network analysis of gene expression and metabolomics in Alzheimer’s disease
Machine-learning classifier predicting antibiotic resistance from bacterial genomes
Protein-protein docking simulations for novel SARS-like coronavirus spike variants
Phylogenetic time-tree reconstruction of avian influenza outbreaks using BEAST
Single-cell RNA-seq trajectory inference visualized with interactive Dash app
CRISPR guide RNA off-target prediction using gradient-boosted decision trees
Metagenomic pipeline identifying extremophile enzymes for industrial biocatalysis
Graph convolutional network to annotate orphan enzymes with substrate specificity
Comparative epigenomic analysis of stress-induced methylation in coral reefs
Design of peptide vaccine epitopes evaluated via in-silico immune simulators
Automated literature mining for gene–disease associations incorporating LLM summarization
Benchmark of de novo genome assembly tools on polyploid plant species
Bayesian model estimating tumor purity and ploidy from mixed sequencing signals
Visualization suite for 3-D chromatin conformation capture data
AI-assisted cryo-EM particle picking and 3-D reconstruction workflow
Clinical decision support prototype predicting sepsis onset using EHR time series
Reproducible microbiome analysis pipeline using Nextflow on cloud GPUs
Public dashboard tracking viral lineage dynamics using real-time GISAID feeds
Ethical framework assessing privacy in federated genomic studies
Decode genomes and design data-driven cures in CMU’s cross-disciplinary program.
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