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Jonathan M Monk

Showing results (11-20 of 82) with videos related to

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Microbiology Resource Announcements|February 26, 2019
Draft Genome Sequences of Four Metallo-Beta-Lactamase-Producing Multidrug-Resistant Klebsiella pneumoniae Clinical Isolates, Including Two Colistin-Resistant Strains, from Cairo, EgyptHeba Attia, Richard Szubin, Aymen S Yassin, et al.
Plos Genetics|July 10, 2020
Impact of insertion sequences on convergent evolution of Shigella speciesJane Hawkey, Jonathan M Monk, Helen Billman-Jacobe, et al.
Nature Protocols|December 22, 2019
A workflow for generating multi-strain genome-scale metabolic models of prokaryotesCharles J Norsigian, Xin Fang, Yara Seif, et al.
Nature Communications|May 24, 2020
A biochemically-interpretable machine learning classifier for microbial GWASErol S Kavvas, Laurence Yang, Jonathan M Monk, et al.
Nature Communications|November 24, 2023
Global pathogenomic analysis identifies known and candidate genetic antimicrobial resistance determinants in twelve speciesJason C Hyun, Jonathan M Monk, Richard Szubin, et al.
Frontiers in Genetics|April 26, 2018
iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of <i>Acinetobacter baumannii</i> AYECharles J Norsigian, Erol Kavvas, Yara Seif, et al.
Microbiology Resource Announcements|December 12, 2018
Gapless, Unambiguous Genome Sequence for Escherichia coli C, a Workhorse of Industrial BiologyJonathan E Pekar, Patrick Phaneuf, Richard Szubin, et al.
Synthetic and Systems Biotechnology|June 1, 2022
Pangenome analysis of Enterobacteria reveals richness of secondary metabolite gene clusters and their associated gene setsOmkar S Mohite, Colton J Lloyd, Jonathan M Monk, et al.
Microbiology Spectrum|December 15, 2025
Structure of the <i>Enterobacter</i> pan-genome is revealed using machine learningJoshua T Burrows, Gaoyuan Li, Jonathan M Monk, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 12, 2016
Comparative genome-scale modelling of Staphylococcus aureus strains identifies strain-specific metabolic capabilities linked to pathogenicityEmanuele Bosi, Jonathan M Monk, Ramy K Aziz, et al.
Pageof 9

Showing results (11-20 of 82) with videos related to

Sort By:
Pageof 9
Microbiology Resource Announcements|February 26, 2019
Draft Genome Sequences of Four Metallo-Beta-Lactamase-Producing Multidrug-Resistant Klebsiella pneumoniae Clinical Isolates, Including Two Colistin-Resistant Strains, from Cairo, EgyptHeba Attia, Richard Szubin, Aymen S Yassin, et al.
Plos Genetics|July 10, 2020
Impact of insertion sequences on convergent evolution of Shigella speciesJane Hawkey, Jonathan M Monk, Helen Billman-Jacobe, et al.
Nature Protocols|December 22, 2019
A workflow for generating multi-strain genome-scale metabolic models of prokaryotesCharles J Norsigian, Xin Fang, Yara Seif, et al.
Nature Communications|May 24, 2020
A biochemically-interpretable machine learning classifier for microbial GWASErol S Kavvas, Laurence Yang, Jonathan M Monk, et al.
Nature Communications|November 24, 2023
Global pathogenomic analysis identifies known and candidate genetic antimicrobial resistance determinants in twelve speciesJason C Hyun, Jonathan M Monk, Richard Szubin, et al.
Frontiers in Genetics|April 26, 2018
iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of <i>Acinetobacter baumannii</i> AYECharles J Norsigian, Erol Kavvas, Yara Seif, et al.
Microbiology Resource Announcements|December 12, 2018
Gapless, Unambiguous Genome Sequence for Escherichia coli C, a Workhorse of Industrial BiologyJonathan E Pekar, Patrick Phaneuf, Richard Szubin, et al.
Synthetic and Systems Biotechnology|June 1, 2022
Pangenome analysis of Enterobacteria reveals richness of secondary metabolite gene clusters and their associated gene setsOmkar S Mohite, Colton J Lloyd, Jonathan M Monk, et al.
Microbiology Spectrum|December 15, 2025
Structure of the <i>Enterobacter</i> pan-genome is revealed using machine learningJoshua T Burrows, Gaoyuan Li, Jonathan M Monk, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 12, 2016
Comparative genome-scale modelling of Staphylococcus aureus strains identifies strain-specific metabolic capabilities linked to pathogenicityEmanuele Bosi, Jonathan M Monk, Ramy K Aziz, et al.
Pageof 9