Author

M.-H. Chen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Organism:human· 3 Assay:metagenomics· 3 Assay:DNA methylation· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

S. R. Lindemann· 3 shared T. Yao· 3 shared A. D. Romero Marcia· 1 shared B. L. Reuhs· 1 shared B. R. Hamaker· 1 shared D. G. Deemer· 1 shared K. Fucikova· 1 shared L. A. Lewis· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersMicrobiology

S. R. Lindemann

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

SUBTLE DIFFERENCES IN FINE POLYSACCHARIDE STRUCTURES GOVERN SELECTION AND SUCCESSION OF HUMAN GUT MICROBIOTA

T. Yao, D. G. Deemer, M.-H. Chen, B. L. Reuhs, B. R. Hamaker, S. R. Lindemann

The paper investigates how subtle differences in polysaccharide structures influence microbial community assembly and metabolic responses in human gut microbiota using in vitro fermentation and multi-omics analysis.

bioRxiv · Oct 4, 2022 · PreprintMicrobiology

Fine carbohydrate structure governs the structure and function of human gut microbiota independently of variation in glycosyl residue composition

A. D. Romero Marcia, T. Yao, M.-H. Chen, R. E. Oles, S. R. Lindemann

This study shows that fine carbohydrate linkage structure, not sugar composition, drives gut microbiota composition and function across individuals.

bioRxiv · Apr 22, 2021 · PreprintMicrobiology

Carbohydrate complexity structures stable diversity in gut-derived microbial consortia under high dilution pressure

T. Yao, M.-H. Chen, S. R. Lindemann

This study shows that complex carbohydrates sustain microbial diversity better than simpler ones under dilution pressure, with structural complexity shaping community composition more than metabolic interactions.

bioRxiv · Jan 31, 2020 · PreprintMicrobiology

Assessing Combinability of Phylogenomic Data using Bayes Factors

S. Neupane, K. Fucikova, L. A. Lewis, L. Kuo, M.-H. Chen, P. Lewis

The paper uses Bayes Factors to assess phylogenomic data combinability, showing their effectiveness in detecting phylogenetic incongruence and calibrating results with an empirical dataset.

bioRxiv · Jan 19, 2018Evolutionary Biology