Author

J. P. W. Young

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

S. Moeskjaer· 2 shared S. U. Andersen· 2 shared B. Fields· 1 shared G. C. diCenzo· 1 shared M. Tausen· 1 shared N. Kuzmanovic· 1 shared V.-P. Friman· 1 shared Y. Yang· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 11 mutual co-author links

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2 shared papersEcology

S. Moeskjaer

Mutual co-authors in cluster

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintNov 15, 2023

Refining the taxonomy of the order Hyphomicrobiales (Rhizobiales) based on whole genome comparisons of over 130 genus type strains

G. C. diCenzo, Y. Yang, J. P. W. Young, N. Kuzmanovic

This paper proposes a genome-based framework to refine the taxonomy of the Hyphomicrobiales order by reassigning genera to families based on core-genome phylogenies and amino acid identity thresholds.

DOI 10.1101/2023.11.15.567303

whole-genome sequencingstatistical model

𝕏 PostBluesky

EcologybioRxivPreprintSep 22, 2020

Amplicons and isolates: Rhizobium diversity in fields under conventional and organic management

S. Moeskjaer, M. Tausen, S. U. Andersen, J. P. W. Young

The paper compares isolate-based and amplicon-based methods to study Rhizobium diversity in different farming systems, finding higher diversity in organic fields.

DOI 10.1101/2020.09.22.307934

metagenomicsexperimental assay

𝕏 PostBluesky

EcologybioRxivJan 12, 2020

MAUI-seq: Metabarcoding using amplicons with unique molecular identifiers to improve error correction

B. Fields, S. Moeskjaer, V.-P. Friman…·J. P. W. Young

MAUI-seq improves error correction in amplicon sequencing by using UMIs to eliminate chimeric reads and identify low-abundance alleles more accurately than DADA2 and UNOISE3.

DOI 10.1111/1755-0998.13294

metagenomicsexperimental assay

𝕏 PostBluesky