Coverart for item
The Resource Metabolomics as a tool in nutrition research, edited by J.L. Sébédio and L. Brennan, (electronic book)

Metabolomics as a tool in nutrition research, edited by J.L. Sébédio and L. Brennan, (electronic book)

Label
Metabolomics as a tool in nutrition research
Title
Metabolomics as a tool in nutrition research
Statement of responsibility
edited by J.L. Sébédio and L. Brennan
Contributor
Editor
Subject
Language
eng
Summary
Metabolomics is a multidisciplinary science used to understand the ways in which nutrients from food are used in the body and how this can be optimised and targeted at specific nutritional needs. Metabolomics as a Tool in Nutrition Research provides a review of the uses of metabolomics in nutritional research. Chapters cover the most important aspects of the topic such as analysis techniques, bioinformatics and integration with other 'omic' sciences such as proteomics and genomics. The final chapters look at the impact of exercise on metabolomic profiles and future trends in metabolomics for n
Member of
Cataloging source
UMI
Dewey number
  • 615.8/54
  • 615.854
Illustrations
illustrations
Index
index present
LC call number
QP171
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Sebedio, J.-L.
  • Brennan, L.
Series statement
Woodhead Publishing Series in Food Science, Technology and Nutrition
Series volume
251
http://library.link/vocab/subjectName
  • Metabolism
  • Physiology
  • Nutrition
  • Diet Therapy
  • Functional foods
  • Individualized Medicine
  • Nutrigenomics
  • Nutrition
  • Nutritional Physiological Phenomena
  • Nutritional Requirements
Label
Metabolomics as a tool in nutrition research, edited by J.L. Sébédio and L. Brennan, (electronic book)
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Metabolomics as a Tool in Nutrition Research; Copyright; Contents; List of contributors; Woodhead Publishing Series in Food Science, Technology and Nutrition; Preface; Part One: Principles; Chapter 1: Challenges in nutritional metabolomics: from experimental design to interpretation of data sets; 1.1. Introduction; 1.2. The experimental design; 1.3. The analytical platform; 1.4. Extraction of data sets and statistical analyses; 1.5. Metabolite identification; 1.6. Biological interpretations; 1.7. Conclusion: do we need standardisation procedures and repositories?; References
  • Chapter 2: Metabolic profiling as a tool in nutritional research2.1. Introduction; 2.2. Key issues in nutritional research; 2.3. The role of genomics, proteomics, metabolomics, and metagenomics in nutritional research; 2.4. Applications of metabolomics in nutrition-related research; 2.5. The use of metabolomics to assess the effects of diet on health; 2.5.1. Natural products; 2.5.2. Wheat and fibre; 2.5.3. Meat and fish; 2.5.4. Milk products; 2.5.5. Functional foods; 2.6. Methods for mapping dietary patterns
  • 2.7. Observational and interventional studies into the effects of diet and nutrition on health2.8. Analytical methods; 2.9. Issues in analysing samples; References; Chapter 3: Chemometrics methods for the analysis of genomics, transcriptomics, proteomics, metabolomics, and metagenomics ... ; 3.1. Introduction; 3.2. Unsupervised and supervised pattern recognition methods; 3.3. Multivariate calibration methods for developing predictive models; 3.4. Statistical data integration methods; 3.5. Data integration: multiblock strategies; 3.6. Data integration: calibration transfer methods
  • 3.7. Data integration: multiway/multimodal analysis methods3.7.1. PARAFAC; 3.7.2. Tucker decomposition; 3.8. Data integration: correlation-based approaches; 3.9. Data integration: techniques for analysing different types of genomics datasets; 3.10. Statistical data integration of different sample types; 3.11. Statistical data integration of different molecular components in samples; 3.12. Modelling relationships between molecular components; 3.13. Conclusion and future trends; References; Part Two: Applications in nutrition research; Chapter 4: Application of lipidomics in nutrition research
  • 4.1. Introduction4.2. Lipids; 4.3. Lipidomics; 4.3.1. Sampling and lipid sample preparation; 4.3.2. Lipid analysis; 4.3.2.1. Shotgun lipidomics; 4.3.2.2. LC-MS for lipid analysis; 4.3.3. Data processing and bioinformatics; 4.4. Lipidomics in nutrition research; 4.4.1. Lipidomics in the determination of the effects of specific diets or challenge tests; 4.4.2. Lipidomics in the investigation of metabolic syndrome and associated diseases; 4.4.3. Lipidomics to control food quality; 4.5. Conclusion and future trends; Acknowledgement; References
Control code
SCIDI903257821
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781782420842
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Sound
unknown sound
Specific material designation
remote
Label
Metabolomics as a tool in nutrition research, edited by J.L. Sébédio and L. Brennan, (electronic book)
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Front Cover; Metabolomics as a Tool in Nutrition Research; Copyright; Contents; List of contributors; Woodhead Publishing Series in Food Science, Technology and Nutrition; Preface; Part One: Principles; Chapter 1: Challenges in nutritional metabolomics: from experimental design to interpretation of data sets; 1.1. Introduction; 1.2. The experimental design; 1.3. The analytical platform; 1.4. Extraction of data sets and statistical analyses; 1.5. Metabolite identification; 1.6. Biological interpretations; 1.7. Conclusion: do we need standardisation procedures and repositories?; References
  • Chapter 2: Metabolic profiling as a tool in nutritional research2.1. Introduction; 2.2. Key issues in nutritional research; 2.3. The role of genomics, proteomics, metabolomics, and metagenomics in nutritional research; 2.4. Applications of metabolomics in nutrition-related research; 2.5. The use of metabolomics to assess the effects of diet on health; 2.5.1. Natural products; 2.5.2. Wheat and fibre; 2.5.3. Meat and fish; 2.5.4. Milk products; 2.5.5. Functional foods; 2.6. Methods for mapping dietary patterns
  • 2.7. Observational and interventional studies into the effects of diet and nutrition on health2.8. Analytical methods; 2.9. Issues in analysing samples; References; Chapter 3: Chemometrics methods for the analysis of genomics, transcriptomics, proteomics, metabolomics, and metagenomics ... ; 3.1. Introduction; 3.2. Unsupervised and supervised pattern recognition methods; 3.3. Multivariate calibration methods for developing predictive models; 3.4. Statistical data integration methods; 3.5. Data integration: multiblock strategies; 3.6. Data integration: calibration transfer methods
  • 3.7. Data integration: multiway/multimodal analysis methods3.7.1. PARAFAC; 3.7.2. Tucker decomposition; 3.8. Data integration: correlation-based approaches; 3.9. Data integration: techniques for analysing different types of genomics datasets; 3.10. Statistical data integration of different sample types; 3.11. Statistical data integration of different molecular components in samples; 3.12. Modelling relationships between molecular components; 3.13. Conclusion and future trends; References; Part Two: Applications in nutrition research; Chapter 4: Application of lipidomics in nutrition research
  • 4.1. Introduction4.2. Lipids; 4.3. Lipidomics; 4.3.1. Sampling and lipid sample preparation; 4.3.2. Lipid analysis; 4.3.2.1. Shotgun lipidomics; 4.3.2.2. LC-MS for lipid analysis; 4.3.3. Data processing and bioinformatics; 4.4. Lipidomics in nutrition research; 4.4.1. Lipidomics in the determination of the effects of specific diets or challenge tests; 4.4.2. Lipidomics in the investigation of metabolic syndrome and associated diseases; 4.4.3. Lipidomics to control food quality; 4.5. Conclusion and future trends; Acknowledgement; References
Control code
SCIDI903257821
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781782420842
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Sound
unknown sound
Specific material designation
remote

Library Locations

Processing Feedback ...