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Publications (9)
Motivation Modern genomic breeding methods rely heavily on very large amounts of phenotyping and genotyping data, presenting new challenges in effective data management and integration. Recently, the size and complexity of datasets have increased significantly, with the result that data is often stored on multiple systems. As analyses of interest i...
Motivation
Modern genomic breeding methods rely heavily on very large amounts of phenotyping and genotyping data, presenting new challenges in effective data management and integration. Recently, the size and complexity of datasets have increased significantly, with the result that data are often stored on multiple systems. As analyses of interest...
Several databases exist that store data from plant breeding experiments. To facilitate data access and data re-use a common Breeding Application Programming Interface (BrAPI) has been agreed between database developers from an international community representing the public and private sector. It is based on the principles of open linked data and a...
Several databases exist that store data from plant breeding experiments. To facilitate data access and data re-use a common Breeding Application Programming Interface (BrAPI) has been agreed between database developers from an international community representing the public and private sector. It is based on the principles of open linked data and a...
Several databases exist that store data from plant breeding experiments. To facilitate data access and data re-use a common Breeding Application Programming Interface (BrAPI) has been agreed between database developers from an international community representing the public and private sector. It is based on the principles of open linked data and a...
In metabolomics research a large number of metabolites are measured that reflect the cellular state under the experimental conditions studied. In many occasions the experiments are performed according to an experimental design to make sure that sufficient variation is induced in the metabolite concentrations. However, as metabolomics is a holistic...
With the availability of genome sequences of many organisms and information about gene-protein-reaction (GPR) associations with respect to these organisms genome-scale metabolic networks can be reconstructed. In cellular systems biology these networks are used to model the behavior of metabolism in context of cell growth in terms of fluxes (reactio...
A filtering procedure is introduced for multivariate data that does not suffer from noise amplification by scaling. A maximum likelihood principal component analysis (MLPCA) step is used as a filter that partly removes noise. This filtering can be used prior to any subsequent scaling and multivariate analysis of the data and is especially useful fo...