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OMICs Technologies

Tools for Food Science

OMICs Technologies

Abstract

Nutrition Science and "Omics" Technologies: Ethical Aspects in Global Health Beatrice Godard, Thierry Hurlimann, and Raphaelle Stenne Array Platform for Food Safety and Quality Clarissa Consolandi, Paola Cremonesi, Marco Severgnini, Roberta Bordoni, Clelia Peano, Gianluca De Bellis, and Bianca Castiglioni Metabolomics and Food Science: Concepts and Serviceability in Plant Foods and Nutrition Noureddine Benkeblia Foodomics: A New Omics for a New Food Era Virginia Garcia-Canas, Carolina Simo, Miguel Herrero, Elena Ibanez, and Alejandro Cifuentes Proteomics in Food Biotechnology Gu Chen and Xuewu Zhang Challenges in Feasible Problem Construction in Nutritional Genomics: An Empirical Study Bart Penders, Klasien Horstman, and Rein Vos Genomics and Breeding in Food Crops Allan Brown, Andrew H. Paterson, and Li Li Genomics of Fruit Quality and Disorders Federico Martinelli, Carlos H. Crisosto, and Abhaya Dandekar Systems Biology Approaches Reveal New Insights into the Molecular Mechanisms Regulating Flesh Fruit Quality Claudio Bonghi and George A. Manganaris Coffee Genomics Sarada Krishnan and Tom A. Ranker Omics Approaches to Meat Quality Management Ruth M. Hamill, Begonya Marcos, Dilip K. Rai, and Anne Maria Mullen Functional Genomics to Improve Meat Quality in Pigs Roberta Davoli, Paolo Zambonelli, and Silvia Braglia Meat Science and Proteomics Kristin Hollung and Eva Veiseth-Kent Wine-Omics: New Platforms for the Improvement of Yeast Strains and Wine Quality Corine S.C. Ting, Anthony R. Borneman, and Isak S. Pretorius Aspergillus flavus Genetics and Genomics in Solving Mycotoxin Contamination of Food and Feed Jiujiang Yu, Deepak Bhatnagar, Thomas E. Cleveland, Gary Payne, William C. Nierman, and Joan W. Bennett Index

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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