Anne Richelle

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2015-2018 University of California, San Diego, La Jolla, CA 
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"Anne Richelle"
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Joshi CJ, Schinn SM, Richelle A, et al. (2020) StanDep: Capturing transcriptomic variability improves context-specific metabolic models. Plos Computational Biology. 16: e1007764
Lieven C, Beber ME, Olivier BG, et al. (2020) Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology. 38: 504
Lieven C, Beber ME, Olivier BG, et al. (2020) MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology
Richelle A, Joshi C, Lewis NE. (2019) Assessing key decisions for transcriptomic data integration in biochemical networks. Plos Computational Biology. 15: e1007185
Richelle A, Chiang AWT, Kuo CC, et al. (2019) Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions. Plos Computational Biology. 15: e1006867
Heirendt L, Arreckx S, Pfau T, et al. (2019) Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0. Nature Protocols
Richelle A, Lewis NE. (2017) Improvements in protein production in mammalian cells from targeted metabolic engineering. Current Opinion in Systems Biology. 6: 1-6
Opdam S, Richelle A, Kellman B, et al. (2017) A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models. Cell Systems
Chiang AW, Li S, Spahn PN, et al. (2016) Modulating carbohydrate-protein interactions through glycoengineering of monoclonal antibodies to impact cancer physiology. Current Opinion in Structural Biology. 40: 104-111
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