Author

T. M. Royalty

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 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:cell type annotation· 2 Research Focus:ecology & biodiversity· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. D. Steen· 4 shared A. T. Webber· 1 shared B. J. Baker· 1 shared J. M. Schmidt· 1 shared J. T. Bird· 1 shared K. H. Mulligan· 1 shared M. J. Alperin· 1 shared N. Dombrowski· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersMicrobiology

A. D. Steen

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Author profile →

4 papers

Recent·Most cited

Functional Redundancy in Ocean Microbiomes Controls Trait Stability

T. M. Royalty, A. D. Steen

The paper uses a new metric to show that functional redundancy in ocean microbiomes correlates with trait stability and physiochemical factors.

bioRxiv · Jun 18, 2021 · PreprintMicrobiology

Contribution Evenness: A functional redundancy metric sensitive to trait stability in microbial communities

T. M. Royalty, A. D. Steen

This paper introduces Contribution Evenness (CE), a metric for assessing functional redundancy in microbial communities, and demonstrates its application to nitrogen cycle pathways in marine environments.

bioRxiv · Apr 22, 2020 · PreprintMicrobiology

Kinetics and identities of extracellular peptidases in subsurface sediments of the White Oak River Estuary, NC

A. D. Steen, R. T. Kevorkian, J. T. Bird, N. Dombrowski, B. J. Baker, S. M. Hagen, K. H. Mulligan, J. M. Schmidt, A. T. Webber, T. M. Royalty, M. J. Alperin

The paper measures extracellular peptidase kinetics and identifies peptidase classes in anoxic estuarine sediments, showing adaptation to degraded organic matter.

bioRxiv · Jul 15, 2019 · PreprintEcology

Quantitatively Partitioning Microbial Genomic Traits among Taxonomic Ranks across the Microbial Tree of Life

T. M. Royalty, A. D. Steen

The paper quantifies how taxonomic ranks correlate with microbial genomic traits across the tree of life using COG-FC enrichment in 13,735 microbial lineages.

bioRxiv · Jun 15, 2019Microbiology