| Description |
1 online resource (187 pages) |
| Contents |
About the Editor -- Foreword: Identification and data-processing methods in metabolomics -- About the Authors -- Chapter 1 Untargeted metabolomics: global in scope and potential -- Chapter 2 LCâ#x80;#x93;MS data acquisition and validation in metabolomics -- Chapter 3 From raw signals to identified metabolites: recent tools for enhancing LCâ#x80;#x93;MS untargeted metabolomic data processing -- Chapter 4 Identification of metabolites in LCâ#x80;#x93;MS-based metabolomics -- Chapter 5 Traveling-wave ion mobility-mass spectrometry in metabolomics: workflows and bioinformatic tools -- Chapter 6 Principal component analysis in metabolomics: from multidimensional data toward biologically relevant information -- Chapter 7 Machine learning algorithms for metabolomics applications -- Chapter 8 Pathway and network analysis for high-throughput metabolomics -- Chapter 9 Targeted metabolomics applied to the study of intracellular eukaryotic pathogen metabolism -- Chapter 10 Normalization and scaling effects on 1H NMR spectra in a metabolomics analysis of leukemic cells -- Chapter 11 Case study: urinary tract infection |
| Summary |
Developments in computational analysis have furthered metabolomics research greatly. This book highlights the data processing and analysis techniques, systems, strategies and software used in metabolomics, with a particular focus on novel or advanced applications |
| Notes |
Print version record |
| Subject |
Metabolism.
|
|
Metabolism
|
|
metabolism (biological concept)
|
|
Metabolism
|
| Form |
Electronic book
|
| ISBN |
9781910420294 |
|
1910420298 |
|
