Stewart Lab
Regenerative Biology

Stewart Computational Biology Group

Dr. Stewart’s group develops and applies algorithms for analyzing large biomedical datasets to find targets for wet-lab discovery.

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The Stewart Computational Group is driven by two goals: (1) building foundational datasets, models, and algorithms useful to other researchers and (2) finding patterns in large datasets for establishing targets for further wet-lab analysis. To these ends, we develop and utilize algorithms for the analysis of large biomedical omics datasets, including genomics, transcriptomics, epigenomics, multi-omics, and bibliomics (biomedical text). Collaboration is at the heart of what we do and through the variety of projects we collaborate with researchers from the Morgridge Institute for Research, the University of Wisconsin, and other institutions around the world.

See our GitHub for some of our publicly available code.

Principal Investigator Ron Stewart

My group builds high-quality foundational datasets and develops computational tools that help researchers use and interpret high throughput biological data such as transcriptomics, genomics, or bibliomics (biomedical text).

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