-
Loading metrics
Predicting antimicrobial resistance using conserved genes
-
Marcus Nguyen,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing
Affiliations Division of Data Science and Learning, Argonne National Laboratory, Argonne Illinois, United States of America, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
⨯ - Robert Olson,
- Maulik Shukla,
-
Margo VanOeffelen,
Roles Data curation, Writing – review & editing
Affiliation Fellowship for Interpretation of Genomes, Burr Ridge, Illinois, Illinois, United States of America
⨯ -
James J. Davis
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing
* E-mail: jjdavis@anl.gov
Affiliations Division of Data Science and Learning, Argonne National Laboratory, Argonne Illinois, United States of America, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America, Fellowship for Interpretation of Genomes, Burr Ridge, Illinois, Illinois, United States of America, Northwestern Argonne Institute for Science and Engineering, Evanston, Illinois, United States of America
⨯
https://orcid.org/0000-0003-2591-6042
Predicting antimicrobial resistance using conserved genes
- Marcus Nguyen,
- Robert Olson,
- Maulik Shukla,
- Margo VanOeffelen,
- James J. Davis
-
- Published: October 19, 2020
- https://doi.org/10.1371/journal.pcbi.1008319