Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 536978
Title Omics and systems biology : Integration of production and omics data in systems biology
Author(s) Hettinga, Kasper; Zhang, Lina
Source In: Proteomics in Domestic Animals Springer International Publishing - ISBN 9783319696812 - p. 463 - 485.
Department(s) VLAG
Food Quality and Design
Publication type Peer reviewed book chapter
Publication year 2018
Keyword(s) Biochemistry - Computation biology - Farm animal - Genomics - Interactomics - Metabolomics - Milk - Proteomics - Systems biology - Transcriptomics
Abstract Omics technologies have become of mainstream use in the study of farm animals, to better understand the physiology of the animal and the quality of the products produced by those animals. Such studies can be done at the level of genes, transcripts, proteins and/or metabolites. An important aspect of doing such omics studies is understanding of variation. For example, in relation to parity, lactation, feeding status and animal health, variation can happen in transcripts, proteins or metabolites found in farm animals and the products produced. This variation can help in better understanding the physiology of the animal. Also variation between individual animals exists, which may assist in better understanding of the animal's physiology. One limitation of the majority of the studies in this area is that they are performed using one specific omics technology. Integrating omics data captured using multiple omics technologies, using a systems biology approach, can shed more light on the biochemistry of the farm animal's physiology. At the end of this chapter, the outlook on such studies and the (software) developments that would be needed for optimal integration of omics data is discussed.
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