Author

Emily Garner

Virginia TechORCID 0000-0002-1579-155XUnclaimed 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:database / resource· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1

Frequent Co-Authors

Amy J. PrudeniD· 2 shared Gustavo Arango-Argoty· 2 shared Lenwood S. HeathiD· 2 shared Peter J. VikeslandiD· 2 shared Giselle K. P. GuroniD· 1 shared Liqing ZhangiD· 1 shared Luyao ZhangiD· 1 shared Maria V. RiquelmeiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Amy J. PrudenORCID

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2 papers

Recent·Most cited

ARG-miner: A web platform for crowdsourcing-based curation of antibiotic resistance genes

Gustavo Arango-Argoty, Giselle K. P. Guron, Emily Garner, Maria V. Riquelme, Lenwood S. Heath, Amy J. Pruden, Peter J. Vikesland, Luyao Zhang

ARG-miner is a crowdsourcing-based platform for curating antibiotic resistance genes, achieving high accuracy and efficiency compared to manual curation.

Bioinformatics · Feb 8, 2020Peer-reviewedBioinformatics

DeepARG: A deep learning approach for predicting antibiotic resistance genes from metagenomic data

Gustavo Arango-Argoty, Emily Garner, Amy J. Pruden, Lenwood S. Heath, Peter J. Vikesland, Liqing Zhang

This paper introduces deepARG, a deep learning method for predicting antibiotic resistance genes from metagenomic data, achieving high precision and recall over traditional methods.

Microbiome · Feb 1, 2018Peer-reviewedBioinformatics