Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data
Published 2023 View Full Article
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Title
Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data
Authors
Keywords
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Journal
Molecular Systems Biology
Volume -, Issue -, Pages -
Publisher
EMBO
Online
2023-10-27
DOI
10.15252/msb.202311566
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- (2020) Pauli Virtanen et al. NATURE METHODS
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- (2020) Morgan N. Price et al. mSystems
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- (2020) Charles R. Harris et al. NATURE
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- (2020) Wai Kit Ong et al. PLoS Computational Biology
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- (2018) Arthur P Goldberg et al. CURRENT OPINION IN BIOTECHNOLOGY
- Fast automated reconstruction of genome-scale metabolic models for microbial species and communities
- (2018) Daniel Machado et al. NUCLEIC ACIDS RESEARCH
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- Tn-Core: A Toolbox for Integrating Tn-seq Gene Essentiality Data and Constraint-Based Metabolic Modeling
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- iML1515, a knowledgebase that computes Escherichia coli traits
- (2017) Jonathan M Monk et al. NATURE BIOTECHNOLOGY
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- (2017) Johannes Hartl et al. Nature Microbiology
- Upon Accounting for the Impact of Isoenzyme Loss, Gene Deletion Costs Anticorrelate with Their Evolutionary Rates
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- A Comparison of the Costs and Benefits of Bacterial Gene Expression
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- BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
- (2015) Zachary A. King et al. NUCLEIC ACIDS RESEARCH
- Rapid Quantification of Mutant Fitness in Diverse Bacteria by Sequencing Randomly Bar-Coded Transposons
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- COBRApy: COnstraints-Based Reconstruction and Analysis for Python
- (2013) Ali Ebrahim et al. BMC Systems Biology
- Genome-scale models of metabolism and gene expression extend and refine growth phenotype prediction
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- A comprehensive genome-scale reconstruction of Escherichia coli metabolism--2011
- (2011) J. D. Orth et al. Molecular Systems Biology
- Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models
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- High-throughput generation, optimization and analysis of genome-scale metabolic models
- (2010) Christopher S Henry et al. NATURE BIOTECHNOLOGY
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