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Ronan M. T. Fleming

Researcher at Leiden University

Publications -  105
Citations -  10322

Ronan M. T. Fleming is an academic researcher from Leiden University. The author has contributed to research in topics: Metabolic network & Microbiome. The author has an hindex of 40, co-authored 102 publications receiving 8189 citations. Previous affiliations of Ronan M. T. Fleming include University of California, San Diego & Medical University of Vienna.

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Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0

TL;DR: The constraint-based reconstruction and analysis toolbox as discussed by the authors is a software package running in the Matlab environment, which allows for quantitative prediction of cellular behavior using a constraintbased approach and allows predictive computations of both steady-state and dynamic optimal growth behavior, the effects of gene deletions, comprehensive robustness analyses, sampling the range of possible cellular metabolic states and the determination of network modules.
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A community-driven global reconstruction of human metabolism

Ines Thiele, +53 more
- 01 May 2013 - 
TL;DR: Recon 2, a community-driven, consensus 'metabolic reconstruction', is described, which is the most comprehensive representation of human metabolism that is applicable to computational modeling and has improved topological and functional features.
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Advantages and challenges of microfluidic cell culture in polydimethylsiloxane devices.

TL;DR: This review outlines some of the advantages and challenges that may accompany a transition from macroscopic to microfluidic cell culture and focuses on decisive factors that distinguish Macroscopic from microfluidity cell culture to encourage a reconsideration of how macroscopy cell culture principles might apply to micro fluidiccell culture.
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Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0

TL;DR: This protocol provides an overview of all new features of the COBRA Toolbox and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios.
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Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota

TL;DR: This work presents AGORA (assembly of gut organisms through reconstruction and analysis), a resource of genome-scale metabolic reconstructions semi-automatically generated for 773 human gut bacteria, and identified a defined growth medium for Bacteroides caccae ATCC 34185.