Stephen Watt

University of Cambridge

Papers

1

Total Citations

45

H-Index

1

About

Stephen Watt is a leading researcher in functional genomics and epigenetics, with a primary focus on developing high-throughput methodologies to map DNA-protein interactions at scale. His most significant contribution is the creation of AHT-ChIP-seq, a fully automated robotic protocol for chromatin immunoprecipitation, which transformed a traditionally manual, labor-intensive technique into a streamlined, reproducible process. This innovation, detailed in his highly cited 2013 paper (45 citations), enables genome-wide identification of transcription factor binding sites and histone modifications with unprecedented efficiency. By applying AHT-ChIP-seq to study five proteins in mouse livers, Watt demonstrated its robustness and data quality, paving the way for large-scale epigenetic studies. His work has substantially accelerated the pace of discovery in regulatory genomics, reducing human error and increasing throughput for labs worldwide. Watt's contributions are foundational for researchers seeking to understand gene regulation in development and disease, making him a pivotal figure in the automation of epigenomic research.

Research Focus

Key Achievements

1
H-Index
1
Papers
45
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
AHT-ChIP-seq: a completely automated robotic protocol for high-throughput chromatin immunoprecipitation
45 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Cambridge

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago