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van Schalkwijk, D.B. (author), de Graaf, A.A. (author), Tsivtsivadze, E. (author), Parnell, L.D. (author), van der Werff-van der Vat, B.J.C. (author), van Ommen, B. (author), van der Greef, J. (author), Ordovás, J.M. (author)
Background: Cardiovascular disease risk increases when lipoprotein metabolism is dysfunctional. We have developed a computational model able to derive indicators of lipoprotein production, lipolysis, and uptake processes from a single lipoprotein profile measurement. This is the first study to investigate whether lipoprotein metabolism...
article 2014
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van der Werf, M.J. (author), Overkamp, K.M. (author), Muilwijk, B. (author), Koek, M.M. (author), van der Werff van der - Vat, B.J.C. (author), Jellema, R.H. (author), Coulier, L. (author), Hankemeier, T. (author), TNO Kwaliteit van Leven (author)
Metabolomics is an emerging, powerful, functional genomics technology that involves the comparative non-targeted analysis of the complete set of metabolites in an organism. We have set-up a robust quantitative metabolomics platform that allows the analysis of 'snapshot' metabolomes. In this study, we have applied this platform for the...
article 2008
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Smilde, A.K. (author), van der Werf, M.J. (author), Bijlsma, S. (author), van der Werff-van der Vat, B.J.C. (author), Jellema, R.H. (author), TNO Kwaliteit van Leven (author)
A general method is presented for combining mass spectrometry-based metabolomics data. Such data are becoming more and more abundant, and proper tools for fusing these types of data sets are needed. Fusion of metabolomics data leads to a comprehensive view on the metabolome of an organism or biological system. The ideas presented draw upon...
article 2005