Author

R. M. Leggett

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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Ecology· 1 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:phylogenetics / evolution· 1 Organism:plant (other)· 1

Frequent Co-Authors

V. Moulton· 2 shared A. Duncan· 1 shared C. Cooper· 1 shared C. Daum· 1 shared D. Heavens· 1 shared D. W. Yu· 1 shared E. Eloe-Fadrosh· 1 shared I. V. Grigoriev· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersEvolutionary Biology

V. Moulton

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Author profile →

3 papers

Recent·Most cited

Evolutionary BiologybioRxivSep 11, 2023

Algebraic invariants for inferring 4-leaf semi-directed phylogenetic networks

S. Martin, V. Moulton, R. M. Leggett, N. Holtgrefe

This paper develops an algebraic method to infer 4-leaf semi-directed phylogenetic networks from nucleotide sequences, showing high accuracy on simulated data and application to real Xiphophorus species data.

DOI 10.1093/sysbio/syaf071

DNA methylationstatistical model

𝕏 PostBluesky

MicrobiologybioRxivPreprintJun 16, 2020

Metagenome-assembled genomes of phytoplankton communities across the Arctic Circle

A. Duncan, K. Barry, C. Daum…·T. Mock

This study assembles metagenome-assembled genomes (MAGs) from Arctic and non-polar phytoplankton communities to compare their genetic diversity and functional differences.

DOI 10.1101/2020.06.16.154583

metagenomicsstatistical model

𝕏 PostBluesky

EcologybioRxivFeb 16, 2019

Semi-quantitative characterisation of mixed pollen samples using MinION sequencing and Reverse Metagenomics (RevMet)

N. Peel, L. Dicks, M. D. Clark…·D. W. Yu

This paper introduces RevMet, a pipeline for semi-quantitative characterization of mixed eukaryote samples using MinION sequencing and genome skims, demonstrating its effectiveness in identifying plant species in pollen samples.

DOI 10.1111/2041-210x.13265

plant (other)metagenomics

𝕏 PostBluesky