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Detecting patterns of accessory genome coevolution in bacterial species using data from thousands of bacterial genomes

Rohan S Mehta, Robert A Petit III, Timothy D Read, Daniel B Weissman
doi: https://doi.org/10.1101/2022.03.14.484367
Rohan S Mehta
1Department of Physics, Emory University, Atlanta, GA, USA
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  • For correspondence: rsmeht4@emory.edu
Robert A Petit III
2Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
3Wyoming Public Health Laboratory, Cheyenne, WY, USA
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Timothy D Read
2Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
4Department of Human Genetics, School of Medicine, Emory University, Atlanta, Georgia, USA
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Daniel B Weissman
1Department of Physics, Emory University, Atlanta, GA, USA
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Posted March 15, 2022.
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Detecting patterns of accessory genome coevolution in bacterial species using data from thousands of bacterial genomes
Rohan S Mehta, Robert A Petit III, Timothy D Read, Daniel B Weissman
bioRxiv 2022.03.14.484367; doi: https://doi.org/10.1101/2022.03.14.484367
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Detecting patterns of accessory genome coevolution in bacterial species using data from thousands of bacterial genomes
Rohan S Mehta, Robert A Petit III, Timothy D Read, Daniel B Weissman
bioRxiv 2022.03.14.484367; doi: https://doi.org/10.1101/2022.03.14.484367

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