Format:
Online-Ressource (PDF-Datei: 4,9 MB)
Content:
A central objective in the analysis of mass spectrometry-based untargeted Metabolomics data is the detection of intensity patterns that differ between experimental conditions and the identification of underlying metabolites and biochemical processes. In this context, the identification of metabolites is a major bottleneck and needs to be guided by expert knowledge and tools for explorative data analysis. The integration of data sets from other omics platforms, e.g. DNA microarray-based Transcriptomics, can thereby provide valuable hints and support the reconstruction of related metabolic pa...
Note:
Kumulative Arbeit
,
Göttingen, Univ., Diss., 2014
Additional Edition:
Druckausg. Kaever, Alexander Development of a statistical framework for mass spectrometry data analysis in untargeted Metabolomics studies 2014
Language:
English
Keywords:
Hochschulschrift
URN:
urn:nbn:de:gbv:7-11858/00-1735-0000-0023-995A-3-2
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