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MEMOTE for standardized genome-scale metabolic model testing

Lieven, Christian; Beber, Moritz E.; Olivier, Brett G.; Bergmann, Frank T.; Ataman, Meric; Babaei, Parizad; Bartell, Jennifer A.; Blank, Lars M.

Reconstructing metabolic reaction networks enables the development of testable hypotheses of an organisms metabolism under different conditions1. State-of-the-art genome-scale metabolic models (GEMs) can include thousands of metabolites and reactions that are assigned to subcellular locations. Geneproteinreaction (GPR) rules and annotations using database information can add meta-information to GEMs. GEMs with ...


Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

Lieven, Christian; Beber, Moritz E.; Olivier, Brett G.; Bergmann, Frank T.; Ataman, Meric; Babaei, Parizad; Bartell, Jennifer A.; Blank, Lars M.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.


SBML qualitative models: a model representation format and infrastructure to fo...

Chaouiya, Claudine; Bérenguier, Duncan; Keating, Sarah M; Naldi, Aurélien; van Iersel, Martijn P; Rodriguez, Nicolas; Dräger, Andreas; Büchel, Finja

Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qual...


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