Author

Brent Nowinski

University of California San DiegoORCID 0000-0002-6847-8145Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1

Frequent Co-Authors

Amanda Hazel DilmoreiD· 2 shared Antonio GonzáleziD· 2 shared Rob D. KnightiD· 2 shared Alejandra Rios Hernandez· 1 shared Amanda BirminghamiD· 1 shared Andrew P. BartkoiD· 1 shared Armando Roberto TovariD· 1 shared Aurélie CotillardiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMicrobiology

Amanda Hazel DilmoreORCID

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2 papers

Recent·Most cited

A three-country analysis of the gut microbiome indicates taxon associations with diet vary by location and strain

Lora A. Khatib, Se Jin Song, Amanda Hazel Dilmore, Jon G. Sanders, Caitriona Brennan, Alejandra Rios Hernandez, Tyler D. Myers, Renee E. Oles, Sawyer Farmer, Charles Cowart, Amanda Birmingham, Edgar A. Diaz, Oliver Nizet, Kat Gilbert, Nicole S. Litwin, , Rob D. Knight

The paper analyzes gut microbiome data from three countries to show diet-microbiota associations vary by location and strain.

mSystems · Jun 30, 2025Peer-reviewedMicrobiology

Scalable power analysis and effect size exploration of microbiome community differences with Evident

Gibraan Rahman, Daniel T. McDonald, Antonio González, Yoshiki Vázquez‐Baeza, Lingjing Jiang, Climent Casals‐Pascual, Shyamal Peddada, Daniel Hakim, Amanda Hazel Dilmore, Brent Nowinski, Rob D. Knight

Evident calculates effect sizes and performs power analysis for microbiome community differences, scaling to large datasets with many metadata covariates.

bioRxiv · May 19, 2022 · PreprintBioinformatics