Author

Paul Stothard

University of AlbertaORCID 0000-0003-4263-969XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Assay:metagenomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Amy PhillipsiD· 1 shared Ashish Kumar PathakiD· 1 shared Ashvini ChauhaniD· 1 shared Beth ShapiroiD· 1 shared Cassandra Gunn· 1 shared Chris WidgaiD· 1 shared Christian ChukwujinduiD· 1 shared Christopher N. JassiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperEvolutionary Biology

Amy PhillipsORCID

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2 papers

Recent·Most cited

Evolutionary BiologySciencePeer-reviewedAug 6, 2026

Paleogenomic insight into the collapse, recovery, and management of American bison

Jonas Oppenheimer, Joshua D. Kapp, Molly Cassatt‐Johnstone…·Beth Shapiro

This study uses ancient and modern bison genomes to show past population connectivity and reveal human impacts on bison diversity, informing conservation efforts.

2 citationstop 2%

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 20, 2023

Metagenome Assembled Genomes (MAG) Facilitate a Better Understanding of Microbially-mediated Heavy Metal Resistance in Soils from a Former Nuclear Materials Production Facility

Navya Kommu, Paul Stothard, Christian Chukwujindu…·Ashvini Chauhan

The paper uses metagenome-assembled genomes (MAGs) to study microbially-mediated heavy metal resistance in soils from a former nuclear materials facility.

DOI 10.1101/2023.10.20.563326

metagenomicsstatistical model

𝕏 PostBluesky