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In the area of diagnosis and therapy of inborn metabolic diseases, the investigation of genetic and clinical data has special importance. These data are the basis of further research and are available in large amounts in the form of case reports within relevant scientific publications and several mutation or disease-oriented databases. However, a successful evaluation of these information is difficult...
We present a strategy of bioinformatics analysis to exploit the current data available both on genomic and metabolic levels and integrate these at novel levels of understanding of metabolic disorders. PathAligner is applied to predict biomedical data based on a given disorder. A case study on urea cycle disorders is demonstrated. Both genetic data and metabolic information are retrieved. We integratively...
In this paper the applicability and the speedup potential of a new load balancing strategy for distributed and parallel systems will be investigated by simulations. For this purpose, we will define a cellular automaton system which can produce process migration proposals according to the load states of computing nodes. The new strategy will be tested using our simulation environment CABLE. The...
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