Keck Genomics Platform (KGP)
Established in 2017, KGP supports the Keck School of Medicine, USC, and its affiliates with a high-throughput next-generation sequencing ecosystem to help translate the basic code of life. Our mission is to build a collaborative environment and provide a team-driven research platform by implementing next-generation technologies, driving advances in translational genomics, and paving the way towards innovation and personalized medicine.
Transforming Genomics for Healthier Communities
Genomics is revolutionizing discovery and translational research worldwide, pivotal in understanding the etiology of numerous human diseases. Deciphering these complexities leads to breakthroughs in medical treatments and healthier communities.
Our Services
At the Keck Genomics Platform (KGP), we deliver high-throughput genomic resources with comprehensive support. We excel in novel sequencing methodologies, generating high-quality data, and offering advanced informatics pipelines for clinical interpretation across diverse diseases. Our team is dedicated to collaborative research, driving translational breakthroughs, and pioneering precision medicine.
Learn more about our Services.
Why Choose KGP?
- Affordable Collaboration: Cost-effective automation minimizes batch effects and boosts throughput.
- Advanced Technology: Featuring the Illumina NovaSeq 6000 for high-throughput sequencing.
- Robust Bioinformatics: In-house pipelines handle massive data volumes efficiently.
- Data Security: 6-month backup of run data, ensuring your data’s safety.
- Quality Assurance: Expertise in managing low-quality samples.
- Data Ownership: No restrictions on data ownership.
- Real-Time Monitoring: Utilizing LIMS for real-time electronic event capture with user-friendly interfaces.
Join us in advancing genomics research and improving health outcomes through cutting-edge technology and collaborative innovation.
“We wish to know all the facts… so that we can draw our own conclusions and take action accordingly.”
Rosalind Franklin