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Dan Knights

Dan Knights

University of Minnesota · Computer Science and Engineering

Active 1998–2026

h-index97
Citations81.6k
Papers29190 last 5y
Funding$3.7M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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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

  • Identification of shared and disease-specific host gene–microbiome associations across human diseases using multi-omic integration

    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 author

    The 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 access

    Industrialization 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

Frequent coauthors

  • Rob Knight

    University of California, San Diego

    103 shared
  • Tonya Ward

    89 shared
  • Gabriel A. Al‐Ghalith

    72 shared
  • Robin R. Shields‐Cutler

    Macalester College

    68 shared
  • Jonathan B. Clayton

    University of Nebraska at Omaha

    47 shared
  • Curtis Huttenhower

    Harvard University

    47 shared
  • Ramnik J. Xavier

    Broad Institute

    45 shared
  • Luke Thompson

    Mississippi State University

    43 shared

Labs

  • Knights LabPI

    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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