Papers

2

Total Citations

30

H-Index

2

About

Charles Plessy is a researcher whose work sits at the intersection of genomics, laboratory automation, and next-generation sequencing technologies. His most recognized contributions focus on streamlining and modernizing genomic DNA extraction workflows, particularly for long-read single-molecule sequencing applications. Plessy and his collaborators have pioneered the automation of phenol-chloroform extraction — a traditionally labor-intensive and technically demanding protocol — by programming advanced anthropomorphic robotic systems, including the Robotic Biology Institute's Maholo LabDroid, to perform organic solvent-based DNA isolation from cell lysates. This work represents a landmark achievement in laboratory automation, marking what is believed to be the first robotic implementation of this classical extraction method in a genomics pipeline context. By integrating articulated robotic arms into sequencing workflows, Plessy's research addresses critical bottlenecks in high-throughput genomics, improving reproducibility and scalability. His 2022 publications in this area have collectively garnered 30 citations, reflecting growing interest from the sequencing community in fully automated genomic pipelines. His work is particularly valuable for researchers seeking to scale up long-read sequencing projects while minimizing human handling variability.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Automated phenol-chloroform extraction of high molecular weight genomic DNA for use in long-read single-molecule sequencing
28 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Okinawa Institute of Science and Technology Graduate University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago