Author

Dong-Min Jin

New York UniversityORCID 0000-0002-1131-4801Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

Abigail A. Landers· 1 shared Andrew H. MoelleriD· 1 shared Daniel D. SprockettiD· 1 shared James T. MortoniD· 1 shared Nathaniel Ennis· 1 shared Richard BonneauiD· 1 shared Samantha L. GoldmaniD· 1 shared Siddharth UppaliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperEvolutionary Biology

Abigail A. Landers

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintOct 4, 2026

Community-wide adaptive evolution of gut bacteria during dietary transitions

Samantha L. Goldman, Siddharth Uppal, Dong-Min Jin…·Andrew H. Moeller

This study shows that dietary transitions drive reproducible adaptive evolution in gut bacteria across multiple species, with specific genetic responses observed in key functions like invertases.

DOI 10.64898/2026.10.01.755998

mouseDNA methylation

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MicrobiologymSystemsPeer-reviewedJul 30, 2024

Meta-analysis of the human gut microbiome uncovers shared and distinct microbial signatures between diseases

Dong-Min Jin, James T. Morton, Richard Bonneau

This study performs a meta-analysis of gut microbiome data across 11 diseases, identifying shared and distinct microbial signatures using machine learning and differential abundance analysis.

27 citations

humanmetagenomics

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