Author

Joshua G. Steffen

University of UtahORCID 0000-0002-5345-5207Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:metagenomics· 2 Organism:Arabidopsis· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Heather M. BriggsiD· 2 shared Alexandre Robert‐Seilaniantz· 1 shared Amarjit BhomraiD· 1 shared André KahlesiD· 1 shared Anne M. VisscheriD· 1 shared Claudia L. WieseiD· 1 shared Edward J. OsborneiD· 1 shared Eric J. BelfieldiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersEcology

Heather M. BriggsORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Effect of formic acid treatment on Apis mellifera foraging behavior as assayed using nanopore metabarcoding technologies

Claudia L. Wiese, Rodolfo S. Probst, Heather M. Briggs, Joshua G. Steffen

This study uses nanopore metabarcoding to show that formic acid treatment affects Apis mellifera foraging preferences, with control hives foraging from more plant genera.

bioRxiv · Jun 27, 2025 · PreprintEcology

Investigating Honey Bee Pollen Foraging Patterns Across a Season Using DNA Metabarcoding

Sydney N. Larsen, Joshua G. Steffen, Heather M. Briggs

This study uses DNA metabarcoding to analyze pollen foraging patterns in honey bees across seasons, revealing variation between hives and within a single hive over time.

bioRxiv · Oct 11, 2024 · PreprintEcology

Genomic Rearrangements Considered as Quantitative Traits

Martha Imprialou, André Kahles, Joshua G. Steffen, Edward J. Osborne, Xiangchao Gan, Janne Lempe, Amarjit Bhomra, Eric J. Belfield, Anne M. Visscher, Robert Greenhalgh, Nicholas P. Harberd, Richard Goram, Jotun Hein, Alexandre Robert‐Seilaniantz, Jonathan D. G. Jones, , Richard Mott

The paper develops a method to map structural variants as quantitative traits in Arabidopsis, identifying transpositions and their phenotypic effects using low-coverage sequencing data.

Genetics · Feb 8, 2017Peer-reviewedGenetics