Model training, parameter estimation Version 1
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Contains all 10 parameter sets, loaded with proteomics measurements for three time points (6h,24h, 48h). Contains all parameter sets exported from COPASI, an overview of the parameter sets in the three conditions and how well they perform as well as scripts to load parameter sets as well as an R script to generate an overview of the model error in predicting for all 10 parameter sets.
SEEK ID: https://fairdomhub.org/data_files/1668?version=1
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Model training.zip
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Size: 724 KB
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Views: 365 Downloads: 8
Created: 19th Apr 2017 at 11:40
Last updated: 14th Jan 2019 at 16:00
Last used: 18th Oct 2019 at 11:35
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https://orcid.org/0000-0001-7049-5334I am a researcher (PhD student) working at Wageningen University & Research as bioinformatician and modeller. I am working as part of the MycoSynVac (http://www.mycosynvac.eu/) project on dynamic modelling of central carbon metabolism in M. pneumoniae, to be extended to full dynamic modelling of metabolism to be implemented in a whole cell model.
I am also looking into possibilities to improve standards in model generation using semantic technologies, improving automatic generation, annotation
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The MycoSynVac project AIMS at using cutting-edge synthetic biology methodologies to engineer Mycoplasma pneumoniae as a universal chassis for vaccination.
Designing a universal Mycoplasma chassis that can be deployed as single- or multi-vaccine in a range of animal hosts. Annually, infections caused by Mycoplasma species in poultry, cows, and pigs result in multimillion Euro losses in the USA and Europe.
There is no effective vaccination against many Mycoplasmas that infect pets, humans and farm
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Programme: Independent Projects
Public web page: http://www.mycosynvac.eu/
