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 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:plant (other)· 1

Frequent Co-Authors

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 K. Barry· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

A. Duncan

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2 papers

Recent·Most cited

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

EcologyMethods in Ecology and EvolutionPeer-reviewedAug 6, 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