Frank J. Hoffman
Papers
1
Total Citations
8
H-Index
1
About
Frank J. Hoffman’s research lies at the intersection of computational geometry, bioinformatics, and proteomics, with a focus on developing algorithmic tools for analyzing complex biological data. His most cited work, “Geometric algorithms for the analysis of 2D-electrophoresis gels” (2001, 8 citations), addresses a critical bottleneck in proteomics: the automated matching and analysis of protein spots in 2-DE gels. By applying geometric algorithms, Hoffman enabled more reliable cross-inspection between new gel images and pre-analyzed master gels, reducing reliance on manual visual comparison and improving throughput for downstream mass spectrometry identification. This contribution supports high-throughput protein identification workflows, a cornerstone of modern proteomics. Though his citation count is modest, Hoffman’s work is notable for its early, principled application of computational geometry to a pressing biological problem, bridging algorithmic theory with practical laboratory needs. His research exemplifies how careful algorithmic design can streamline experimental analysis, making him a valuable contributor to the computational proteomics community.
Research Focus
Key Achievements
Top Papers
- 1Geometric algorithms for the analysis of 2D-electrophoresis gels8 citations · 2001