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130626 ||| eng |
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|a 9783540747192
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| 100 |
1 |
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|a Nielsen, Jens
|e [editor]
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| 245 |
0 |
0 |
|a Metabolomics
|h Elektronische Ressource
|b A Powerful Tool in Systems Biology
|c edited by Jens Nielsen, Michael C. Jewett
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2007, 2007
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| 300 |
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|a XVI, 284 p. 53 illus., 13 illus. in color
|b online resource
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| 505 |
0 |
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|a The role of metabolomics in systems biology -- Analytical methods from the perspective of method standardization -- Reporting standards -- The Golm Metabolome Database: a database for GC-MS based metabolite profiling -- Reconstruction of dynamic network models from metabolite measurements -- Toward metabolome-based 13C flux analysis: a universal tool for measuring in vivo metabolic activity -- Data acquisition, analysis, and mining: Integrative tools for discerning metabolic function in Saccharomyces cerevisiae -- E. coli metabolomics: capturing the complexity of a “simple” model -- The exo-metabolome in filamentous fungi -- The importance of anatomy and physiology in plant metabolomics
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| 653 |
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|a Microbial Genetics
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Biological Techniques
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| 653 |
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|a Computational and Systems Biology
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| 653 |
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|a Microbial genetics
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| 653 |
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|a Biochemistry
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| 653 |
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|a Biology / Technique
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| 700 |
1 |
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|a Jewett, Michael C.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Topics in Current Genetics
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| 028 |
5 |
0 |
|a 10.1007/978-3-540-74719-2
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-74719-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 572
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| 520 |
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|a The metabolome comprises the complete set of metabolites, the non-genetically encoded substrates, intermediates, and products of metabolic pathways, associated to a cell. Given the increasing demand to quantitatively identify the metabolome and understand how trafficking of metabolites through the metabolic network impact cellular behavior, metabolomics has emerged as an important complementary technology to the cell-wide measurements of mRNA, proteins, fluxes, and interactions (e.g. protein-DNA). Metabolomics is already a powerful tool in drug discovery and development and in metabolic engineering. While maintaining these strengths, the field promises to play a heightened role in systems biology research, which is transforming the practice of medicine and our ability to engineer living organisms. This book brings together the latest results in the field of metabolomics. It comprehensively presents the current state of the metabolomics field by underscoring experimental methods, analysis techniques, standardization practices, and advances in specific model systems. As a result, it significantly broadens our perspective on the principles and strategies underpinning this emerging field
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