Author

Christopher D. Garay

Mitre (United States)ORCID 0000-0002-2682-5508Unclaimed 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 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ashley SaboliD· 1 shared Eija TreesiD· 1 shared Heather A. CarletoniD· 1 shared Matthew PetersoniD· 1 shared Tonia M. Korves· 1 shared

Activity by Year

2016-2016 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Ashley SabolORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2016

Assessing Pathogens for Natural versus Laboratory Origins Using Genomic Data and Machine Learning

Tonia M. Korves, Christopher D. Garay, Heather A. Carleton…·Matthew Peterson

This study develops methods to determine if pathogens come from natural environments or laboratory culturing using genomic data and machine learning, identifying mutations as signatures of laboratory culturing.

2 citations

bacteria (other)whole-genome sequencing

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