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Jonathan M Monk

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Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|August 22, 2022
Genome-scale metabolic network reconstructions of diverse <i>Escherichia</i> strains reveal strain-specific adaptationsJonathan M Monk
Journal of Clinical Microbiology|November 23, 2018
Predicting Antimicrobial Resistance and Associated Genomic Features from Whole-Genome SequencingJonathan M Monk
BMC Genomics|January 5, 2022
Comparative pangenomics: analysis of 12 microbial pathogen pangenomes reveals conserved global structures of genetic and functional diversityJason C Hyun, Jonathan M Monk, Bernhard O Palsson
Cell|May 23, 2015
Using Genome-scale Models to Predict Biological CapabilitiesEdward J O'Brien, Jonathan M Monk, Bernhard O Palsson
Nature Reviews. Genetics|January 17, 2014
Constraint-based models predict metabolic and associated cellular functionsAarash Bordbar, Jonathan M Monk, Zachary A King, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 13, 2018
Thermodynamic favorability and pathway yield as evolutionary tradeoffs in biosynthetic pathway choiceBin Du, Daniel C Zielinski, Jonathan M Monk, et al.
Plos One|October 20, 2021
Rapid resistance development to three antistaphylococcal therapies in antibiotic-tolerant staphylococcus aureus bacteremiaChristopher R Miller, Jonathan M Monk, Richard Szubin, et al.
Plos Computational Biology|March 3, 2020
Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogensJason C Hyun, Erol S Kavvas, Jonathan M Monk, et al.
Mbio|August 29, 2019
Systems Biology and Pangenome of <i>Salmonella</i> O-AntigensYara Seif, Jonathan M Monk, Henrique Machado, et al.
Metabolites|March 4, 2020
Improved Dried Blood Spot-Based Metabolomics: A Targeted, Broad-Spectrum, Single-Injection MethodKefeng Li, Jane C Naviaux, Jonathan M Monk, et al.
Pageof 9

Showing results (1-10 of 82) with videos related to

Sort By:
Pageof 9
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|August 22, 2022
Genome-scale metabolic network reconstructions of diverse <i>Escherichia</i> strains reveal strain-specific adaptationsJonathan M Monk
Journal of Clinical Microbiology|November 23, 2018
Predicting Antimicrobial Resistance and Associated Genomic Features from Whole-Genome SequencingJonathan M Monk
BMC Genomics|January 5, 2022
Comparative pangenomics: analysis of 12 microbial pathogen pangenomes reveals conserved global structures of genetic and functional diversityJason C Hyun, Jonathan M Monk, Bernhard O Palsson
Cell|May 23, 2015
Using Genome-scale Models to Predict Biological CapabilitiesEdward J O'Brien, Jonathan M Monk, Bernhard O Palsson
Nature Reviews. Genetics|January 17, 2014
Constraint-based models predict metabolic and associated cellular functionsAarash Bordbar, Jonathan M Monk, Zachary A King, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 13, 2018
Thermodynamic favorability and pathway yield as evolutionary tradeoffs in biosynthetic pathway choiceBin Du, Daniel C Zielinski, Jonathan M Monk, et al.
Plos One|October 20, 2021
Rapid resistance development to three antistaphylococcal therapies in antibiotic-tolerant staphylococcus aureus bacteremiaChristopher R Miller, Jonathan M Monk, Richard Szubin, et al.
Plos Computational Biology|March 3, 2020
Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogensJason C Hyun, Erol S Kavvas, Jonathan M Monk, et al.
Mbio|August 29, 2019
Systems Biology and Pangenome of <i>Salmonella</i> O-AntigensYara Seif, Jonathan M Monk, Henrique Machado, et al.
Metabolites|March 4, 2020
Improved Dried Blood Spot-Based Metabolomics: A Targeted, Broad-Spectrum, Single-Injection MethodKefeng Li, Jane C Naviaux, Jonathan M Monk, et al.
Pageof 9