Bioinformatics & HPC

The GVSU Applied Computing Institute's Bioinformatics and High-Performance Computing team is dedicated to advancing the field of computational biology through cutting-edge research and innovation. Our mission is to develop novel computational tools and techniques to analyze large-scale biological data sets and solve critical challenges in healthcare, agriculture, and environmental sciences.

Currently, Dr. DeBruine's lab is developing fast Non-negative Matrix Factorization algorithms for applications in bioinformatics and beyond. Special interests include single-cell experiment dimensional reduction and integration, hybrid NNLS/graph-based learning, genome/phenome meta-association, and novel approaches to model regularization.

Bioinformatics & HPC Team

Dr. DeBruine speaking on stage at the GVSU Tech Talks Event

Faculty

Students

  • Skyler Ruiter
  • Vishnu Mano
  • Marc Tunnell
  • Sarah Wight

Example Projects and Case Studies

Rcpp Machine Learning Library

Rcpp ML

non-negative matrix factorization

Learn More

Representative Publications

• Assembly and architecture of the Wnt/β‐catenin signalosome at the membrane

• Crystal structure of the Frizzled 4 receptor in a ligand-free state

Do you have an Bioinformatics or HPC problem?

If you have an problem with big biological data or your application is in need of high performance computing, don't hesitate to reach out!

Contact Us


Page last modified September 28, 2023
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