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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.
Frontiers in Genetics|April 26, 2018
iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYECharles J Norsigian, Erol Kavvas, Yara Seif, et al.
Frontiers in Microbiology|December 7, 2020
High-Quality Genome-Scale Models From Error-Prone, Long-Read AssembliesJared T Broddrick, Richard Szubin, Charles J Norsigian, et al.
Nucleic Acids Research|November 8, 2019
BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic treeCharles J Norsigian, Neha Pusarla, John Luke McConn, et al.
Nature Communications|November 14, 2023
Functional annotation of enzyme-encoding genes using deep learning with transformer layersGi Bae Kim, Ji Yeon Kim, Jong An Lee, et al.
Frontiers in Cellular and Infection Microbiology|June 11, 2019
Comparative Genome-Scale Metabolic Modeling of Metallo-Beta-Lactamase-Producing Multidrug-Resistant Klebsiella pneumoniae Clinical IsolatesCharles J Norsigian, Heba Attia, Richard Szubin, et al.
Frontiers in Genetics|March 21, 2020
Reconstruction and Validation of a Genome-Scale Metabolic Model of Streptococcus oralis (iCJ415), a Human Commensal and Opportunistic PathogenChristian S Jensen, Charles J Norsigian, Xin Fang, et al.
NPJ Systems Biology and Applications|October 21, 2020
Systems biology analysis of the Clostridioides difficile core-genome contextualizes microenvironmental evolutionary pressures leading to genotypic and phenotypic divergenceCharles J Norsigian, Heather A Danhof, Colleen K Brand, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 27, 2022
Systems biology approach to functionally assess the Clostridioides difficile pangenome reveals genetic diversity with discriminatory powerCharles J Norsigian, Heather A Danhof, Colleen K Brand, et al.
Iscience|April 1, 2022
Mathematical models to study the biology of pathogens and the infectious diseases they causeJoao B Xavier, Jonathan M Monk, Saugat Poudel, et al.
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