Author

Matthew Moore

University of OxfordORCID 0000-0003-2963-1677Unclaimed ORCID profile · follow to get notified of new preprints

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Matthew Moore2 papers · VA Palo Alto Health Care System

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Organism:C. elegans· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ann Sarah WalkeriD· 1 shared David W. EyreiD· 1 shared Mark H. WilcoxiD· 1 shared Mirjam LaageriD· 1 shared Paolo RibecaiD· 1 shared Xavier DidelotiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperGenomics

Ann Sarah WalkerORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS GeneticsPeer-reviewedApr 29, 2024

KmerAperture: Retaining k-mer synteny for alignment-free extraction of core and accessory differences between bacterial genomes

Matthew Moore, Mirjam Laager, Paolo Ribeca, Xavier Didelot

KmerAperture distinguishes core and accessory sequence differences between bacterial genomes using k-mer positions without alignment, outperforming existing k-mer tools.

6 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

GenomicsMicrobial GenomicsPeer-reviewedApr 6, 2022

K-mer based prediction of Clostridioides difficile relatedness and ribotypes

Matthew Moore, Mark H. Wilcox, Ann Sarah Walker, David W. Eyre

This paper uses MinHash to rapidly approximate genomic distances and predict ribotypes in Clostridioides difficile genomes, reducing computational demands for transmission analysis.

4 citations

C. eleganswhole-genome sequencing

𝕏 PostBluesky