Benjamin VanderSluis

University of Minnesota

Papers

1

Total Citations

12

H-Index

1

About

Benjamin VanderSluis is a computational biologist whose research focuses on unraveling the complex genetic networks that govern cellular life, with a particular emphasis on synthetic genetic interactions in yeast. His major contributions center on developing and applying high-throughput screening methods to map trigenic interactions—the interplay among three genes—which are critical for understanding genetic robustness, disease mechanisms, and evolutionary biology. VanderSluis is best known for his work on τ-SGA (tau-Synthetic Genetic Array), a powerful methodology introduced in his 2021 paper that enables systematic screening and quantification of trigenic interactions in yeast. This approach has opened new avenues for exploring higher-order genetic complexity, revealing how combinations of mutations can produce unexpected phenotypes. While his most-cited paper has garnered 12 citations, its impact lies in providing a foundational tool for the field, allowing researchers to move beyond pairwise interactions. VanderSluis’s work is notable for its rigorous quantitative framework and its potential to inform studies of human genetic diseases, where multiple genetic variants often interact in non-additive ways. His research continues to shape our understanding of genetic networks and their role in health and disease.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
τ-SGA: synthetic genetic array analysis for systematically screening and quantifying trigenic interactions in yeast
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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