Author

Joseph T Burke

Michigan State UniversityORCID 0000-0003-0532-3338Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ethan P WolfeiD· 2 shared Evan Pierce BrenneriD· 2 shared Jacob D KroliD· 2 shared Janani RaviiD· 2 shared Abhirupa GhoshiD· 1 shared Charmie K. VangiD· 1 shared David A MayeriD· 1 shared Emily A BoyeriD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Ethan P WolfeORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 3, 2025

From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens

Abhirupa Ghosh, Evan Pierce Brenner, Charmie K. Vang…·Janani Ravi

This paper uses machine learning to predict antimicrobial resistance (AMR) across ESKAPE pathogens by analyzing genomic data and identifying molecular features associated with drug resistance.

3 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

GenomicsbioRxivPreprintFeb 18, 2022

MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny

Faisal Alquaddoomi, Joseph T Burke, Lo M. Sosinski…·Janani Ravi

MolEvolvR provides a web-app for analyzing protein evolution through phylogenetic context, offering tools to explore conserved domains, lineage-specific variants, and domain architectures.

9 citations

protein sequencestatistical model

𝕏 PostBluesky