|
Understanding and improving ionisation in LC-MS towards more quantitative metabolite data |
Thomas Hankemeier |
|
|
|
Gut and immune health (GIH) A7-2 |
Thomas Hankemeier |
|
|
|
Metabolomics in plant-microbe interactions |
Ric de Vos |
|
|
|
Experimental designs for time-resolved metabolomics experiments |
Age Smilde |
|
|
|
Systematic metabolite identification strategies using LC-SPE-NMR-MSn |
Ric de Vos |
|
|
|
Metabolomic profiling of lipid mediators in chronic inflammatory disorders |
Eric Kalkhoven |
|
|
|
Plasma driven network biology in metabolomics based biomarker research |
Ben van Ommen |
|
|
|
Comprehensive interface for LCxLC-MS |
Heiko van der Linden |
|
|
|
Data fusion of complex-structured metabolomics data |
Johan Westerhuis |
|
|
|
Data processing strategies for uniform metabolite quantification |
Theo Reijmers |
|
|
|
Development of a generic steroid platform, using adipose tissue as a model system |
Arjan Brenkman |
|
|
|
Plant Genetical Metabolomics for mapping populations of both Arabidopsis thaliana and tomato fruit |
Ric de Vos |
|
|
|
Combining metabolomics data with physico-chemical, thermo-dynamical and biochemical knowledge |
Johan Westerhuis |
|
|
|
Identification of metabolites using high resolution MSn: novel tools for data acquisition and spectral tree interpretation |
Rob Vreeken |
|
|
|
Nano/micro sampling for local metabolomics |
Heiko van der Linden |
|
|
|
Metabolic asessment of the impact of dietary intervention on global cardiometabolic risk (DCMR) |
Ruud Berger |
|
|
|
Top down identification of unknown metabolites: structure generation and candidate rejection |
Leon Coulier |
|
|
|
Global dynamic modelling of metabolomics data |
Huub Hoefsloot |
|
|
|
Preprocessing of hyphenated analytical data |
Uwe Thissen |
|
|
|
Generic methods for quantitative profiling of peptides and their posttranslational modifications in body fluids and cells/tissues: development and application in disease model systems |
Jo Höppener |
|
|
|
Diet gut interactions: effect of food formats (DGFF) |
Ric de Vos |
|
|
|
Emerging time-resolved metabolomics data structures from in-silico networks |
Huub Hoefsloot |
|
|
|
Development of algorithms or rule-based tools for identification of metabolites from high resolution mass spectral trees |
Theo Reijmers |
|
|
|
Comprehensive LCxLC-MS metabolite profiling: quantitative and sensitive detection of small differences |
Rob Vreeken |
|
|
|
Metabolic asessment of the impact of dietary intervention on global cardiometabolic risk (DCMR) |
Thomas Hankemeier |
|
|
|
Metabolomics studies on the effect of dietary interventions on body weight and body composition (DWM |
Thomas Hankemeier |
|
|
|
Power analysis of metabolomics studies |
Fred van Eeuwijk |
|
|
|
Single-cell metabolomics using a novel nano-/microfluidic cell platform |
Heiko van der Linden |
|
|
|
Metabolic biomarkers for oxidative and nitrosative stress |
Leo Klomp |
|
|
|
Inferring network information from time resolved metabolomics data |
Margriet Hendriks |
|
|
|
NMR/MS based prediction |
Jacques Vervoort |
|
|
|
Quantitative profiling of the metabolic requirements of mammalian cells; the central carbon |
Arjan Brenkman |
January, 2011 |
|