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Analysis of the resulting large, multifaceted data sets to rapidly and accurately identify the metabolites is a challenging task that relies on the availability of chemical libraries of metabolite spectral signatures.
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This work focuses on the integration of multifaceted extensive data sets (e.g. laboratory values, vital data, medications) and partly unstructured medical data such as discharge letters, diagnostic reports, clinical notes etc. in a research database.
The data sets indicate that cell wall diversity in land plants is multifaceted and that matrix glycan epitopes display complex spatio-temporal and phylogenetic distribution patterns that are likely to relate to the evolution of land plant body plans.
Many data sets show this.
There are several major data sets.
Today we have 274,000 data sets available.
You stitch together these massive data sets.
Data sets upon data sets.
In order to interpret such multifaceted data one can take various perspectives.
for different data sets.
Data sets were aligned using ClustalX [66].
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