Author

Zachary C. Elmore

Duke UniversityORCID 0009-0009-1031-9887Unclaimed 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:benchmarking· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aaron A. BestiD· 1 shared Adam D. Slater· 1 shared Aravind AsokaniD· 1 shared Benjamin N. Turner· 1 shared Bruce Parrello· 1 shared Clay Ihle· 1 shared Daniel K. Oh· 1 shared Francesco S. MoeniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aaron A. BestORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 17, 2023

Predicting Protein-encoding Gene Content in Escherichia coli Genomes

Marcus Nguyen, Zachary C. Elmore, Clay Ihle…·James J. Davis

This study builds machine learning classifiers to predict variable gene presence in E. coli genomes, achieving high accuracy for most gene families, including poorly annotated and horizontally transferred genes.

DOI 10.1101/2023.01.17.524402

E. coliwhole-genome sequencing

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Molecular BiologyNature CommunicationsPeer-reviewedOct 29, 2021

The membrane associated accessory protein is an adeno-associated viral egress factor

Zachary C. Elmore, L. Patrick Havlik, Daniel K. Oh…·Aravind Asokan

The paper identifies MAAP as a novel AAV egress factor that facilitates secretion of AAV particles through Rab11+ vesicles and EV markers.

70 citationstop 2%

experimental assay

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