Dan Knights
University of Minnesota · Computer Science and Engineering
Active 1998–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
My data science lab has been involved in various aspects of microbiome research. We have developed methods for analyzing microbiome data, and we have applied those methods in clinical studies to better diagnose and predict disease. We have also been involved in several data science projects related to sustainability.
Research topics
- Bioinformatics
- Biology
- Computational biology
- Medicine
- Computer Science
- Internal medicine
- Pathology
- Psychology
- Data science
- Immunology
Selected publications
Reporting guidelines for human microbiome research: the STORMS checklist
Nature Medicine · 2021 · 452 citations
The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific to microbiome studies. Therefore, a multidisciplinary group of microbiome epidemiology researchers adapted guidelines for observational and genetic studies to culture-ind…
Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome
Cell · 2020 · 440 citations
Nature Microbiology · 2022 · 171 citations
While gut microbiome and host gene regulation independently contribute to gastrointestinal disorders, it is unclear how the two may interact to influence host pathophysiology. Here we developed a machine learning-based framework to jointly analyse paired host transcriptomic (n = 208) and gut microbiome (n = 208) profiles from colonic mucosal samples of patients with colorectal cancer, inflammatory bowel disease and irritable bowel syndrome. We identified associations between gut microbes and hos…
Shallow shotgun sequencing reduces technical variation in microbiome analysis
Scientific Reports · 2023-05-11 · 55 citations
articleOpen accessSenior authorThe microbiome is known to play a role in many human diseases, but identifying key microbes and their functions generally requires large studies due to the vast number of species and genes, and the high levels of intra-individual and inter-individual variation. 16S amplicon sequencing of the rRNA gene is commonly used for large studies due to its comparatively low sequencing cost, but it has poor taxonomic and functional resolution. Deep shotgun sequencing is a more accurate and comprehensive al…
Cardiometabolic benefits of a non-industrialized-type diet are linked to gut microbiome modulation
Cell · 2025-01-23 · 50 citations
articleOpen accessIndustrialization adversely affects the gut microbiome and predisposes individuals to chronic non-communicable diseases. We tested a microbiome restoration strategy comprising a diet that recapitulated key characteristics of non-industrialized dietary patterns (restore diet) and a bacterium rarely found in industrialized microbiomes (Limosilactobacillus reuteri) in a randomized controlled feeding trial in healthy Canadian adults. The restore diet, despite reducing gut microbiome diversity, enhan…
Recent grants
Early life antibiotics, gut microbiome development, and risk of childhood obesity
NIH · $3.7M · 2016–2022
Frequent coauthors
- 103 shared
Rob Knight
University of California, San Diego
- 89 shared
Tonya Ward
- 72 shared
Gabriel A. Al‐Ghalith
- 68 shared
Robin R. Shields‐Cutler
Macalester College
- 47 shared
Jonathan B. Clayton
University of Nebraska at Omaha
- 47 shared
Curtis Huttenhower
Harvard University
- 45 shared
Ramnik J. Xavier
Broad Institute
- 43 shared
Luke Thompson
Mississippi State University
Labs
Data mining and machine learning to understand the natural world and human microbiome
Awards & honors
- 2023: Charles E. Bowers Faculty Teaching Award
- 2015: McKnight Land-Grant Professorship
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