Identification and Data Processing Methods in Metabolomics.

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rudaz, Serge
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Future Science Group, 2014.
Temas:
Metabolism.
Metabolism
Métabolisme.
metabolism (biological concept)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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