James Emmanuel San

Papers

Total Citations

104

H-Index

About

James Emmanuel San is a leading figure in the automation of genomics workflows, with a primary focus on bridging the gap between high-throughput sequencing and practical laboratory efficiency. His most influential work, "Unlocking the efficiency of genomics laboratories with robotic liquid-handling" (2020, 104 citations), directly addresses the critical bottleneck of sample preparation in next-generation sequencing (NGS). By demonstrating how liquid-handling robotics can streamline and scale clinical and research genomics pipelines, San has provided a roadmap for laboratories transitioning from manual to automated processes. His contributions are pivotal for making NGS more accessible, reproducible, and cost-effective, particularly in clinical settings where throughput and accuracy are paramount. San’s research not only advances the technical integration of robotics into genomics but also offers practical solutions for overcoming the logistical hurdles that have long constrained sequencing capacity. Through his work, he has become a key voice in the movement toward fully automated, high-efficiency genomics laboratories, influencing how institutions worldwide approach large-scale genetic analysis.