Author

Francesca J. Standeven

University of BradfordORCID 0009-0002-8440-9091Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrew TedderiD· 3 shared Camilla SpelleriD· 3 shared Conor Joseph MeehaniD· 3 shared Gwyn Dahlquist-AxeiD· 3 shared Amy Z. MundorffiD· 1 shared Anita RadiniiD· 1 shared Jessica HendyiD· 1 shared Josef WagneriD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

Andrew TedderORCID

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3 papers

Recent·Most cited

MicrobiologyData in BriefPeer-reviewedJun 12, 2025

An extensive archaeological dental calculus dataset spanning 5000 years for ancient human oral microbiome research

Francesca J. Standeven, Gwyn Dahlquist-Axe, Jessica Hendy…·Camilla Speller

The paper provides a 5000-year-old dental calculus metagenomic dataset from 174 UK archaeological samples to study ancient human oral microbiomes and related topics like diet and antimicrobial resistance.

4 citations

humanmetagenomics

𝕏 PostBluesky

MicrobiologybioRxivPreprintSep 23, 2024

Identifying ancient antibiotic resistance genes in archaeological dental calculus

Francesca J. Standeven, Gwyn Dahlquist-Axe, Camilla Speller…·Conor Joseph Meehan

This study evaluates the impact of DNA damage and contamination on detecting antibiotic and metal resistance genes in ancient metagenomic samples, finding contamination is more problematic than diagenetic damage.

1 citation

humanmetagenomics

𝕏 PostBluesky

MicrobiologybioRxivPreprintSep 18, 2024

An efficient pipeline for creating metagenomic-assembled genomes from ancient oral microbiomes

Francesca J. Standeven, Gwyn Dahlquist-Axe, Camilla Speller…·Andrew Tedder

This study evaluates binning tools for reconstructing metagenomic-assembled genomes from ancient oral microbiomes using simulated and real data.

2 citations

metagenomicsstatistical model

𝕏 PostBluesky