Scientific Excellence
Unparalleled Experience
Superior Technology
Offering a Full Suite of Multi-Omic Services
The McDonnell Genome Institute has been at the forefront of genomics research since our central role in the Human Genome Project. Built to deliver results on time and on budget, MGI thrives on difficult projects.
Our High-Capacity Technology Hubs
Genome Technology Access Center
- Short-read sequencing
- Long-read sequencing
- High-throughput proteomics
- Single cell genomics
- Spatial transcriptomics
- Computational biology/bioinformatics
Genome Engineering & Stem Cell Center
- Genome-edited stem cell & cancer cell lines
- Genome-edited model organisms
- Patient-derived iPSCs
- Stem cell differentiation
- CRISPR screening
Mass Spectrometry Technology Access Center
- Proteomics
- Metabolomics
- Lipidomics
- Deep-scale PTM analysis
- Native Mass Spectrometry
- Spatial multi-omics MS technologies
Functional Imaging for Variant Elucidation
- Massively parallel genetic cellular screening
- Drug screening
- Isolating Live cells from Specific Phenotypes
- Spatial Transcriptomics Image Analysis
Built For Your Success
MGI is a world leader in genomics with a wide breadth of technologies and a rich history of collaborations through well-established sharing and outreach pipelines. Our work is particularly unique due to the breadth of resources we offer in one location.
16
Years MGI Employee Tenure
95%
% Repeat Partner Rate
65
Current Academic Institute Partners
56
Current Biopharma Partners
Why research-grade data matters in clinical trials
Clinical development relies on the integrity of underlying datasets. At every stage of a trial—whether early-phase safety studies or late-stage efficacy evaluations—decisions regarding a therapy’s trajectory depend on data that is accurate, reproducible, and interpretable. Research-grade standards are particularly critical when working with scarce or degraded patient material, where analytical precision determines whether samples can […]
Clinical OMICS: Where Multi-Omics Meets Clinical Reality
Multi-omic technologies have expanded rapidly over the past two decades. Researchers now have access to whole genome sequencing, spatial transcriptomics, proteomics, metabolomics, and more—all capable of capturing different aspects of disease biology. These tools have led to important discoveries, but they’ve also introduced new challenges: data fragmentation, inconsistent interpretation, and findings that fail to translate […]
