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Proteomics in Domestic Animals: from Farm to Systems Biology

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Cover of 'Proteomics in Domestic Animals: from Farm to Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Proteomics in Domestic Animals on a Farm to Systems Biology Perspective: Introductory Note
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    Chapter 2 Considerations for Farm Animal Proteomic Experiments: An Introductory View Gel-Based Versus Non-gel-Based Approaches
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    Chapter 3 Quantitative Gel Electrophoresis
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    Chapter 4 Sample Preparation for 2DE Using Samples of Animal Origin
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    Chapter 5 Gel-Free Proteomics
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    Chapter 6 Proteomic Research in Farm Animal Serum and Plasma
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    Chapter 7 Proteomic Research in Urine and Other Fluids
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    Chapter 8 Colostrum Proteomics Research: A Complex Fluid with Multiple Physiological Functions
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    Chapter 9 Proteomics in Milk and Dairy Products
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    Chapter 10 Proteomics in Skeletal Muscle Research
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    Chapter 11 Proteomics and the Characterization of Fatty Liver Metabolism in Early Lactation Dairy Cows
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    Chapter 12 Proteomics Research in the Adipose Tissue
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    Chapter 13 Proteomics and Mammary Gland Research in Dairy Species
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    Chapter 14 Proteomics in Wool and Fibre Research
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    Chapter 15 Proteomics of Meat Products
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    Chapter 16 Proteomics in Fish and Aquaculture Research
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    Chapter 17 The Use of Proteomics to Study Biomarkers of Stress and Welfare in Farm Animals
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    Chapter 18 Bioinformatics Support for Farm Animal Proteomics
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    Chapter 19 Peptidomics on Farm Animal Research
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    Chapter 20 Studying the Animal Transcriptome: State of the Art and Challenges in the Context of Animal and Veterinary Sciences
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    Chapter 21 NMR Metabolomics pari passu with Proteomics: Two Relevant Tools for Animal Sciences Combined
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    Chapter 22 Omics and Systems Biology: Integration of Production and Omics Data in Systems Biology
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    Chapter 23 Proteomics in Domestic Animals on a Farm to Systems Biology Perspective: Final Remarks and Future Prospects
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Proteomics in Domestic Animals: from Farm to Systems Biology
Published by
Springer, Cham, March 2018
DOI 10.1007/978-3-319-69682-9
978-3-31-969681-2, 978-3-31-969682-9

Andre Martinho de Almeida, David Eckersall, Ingrid Miller

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 31%
Student > Master 8 25%
Researcher 5 16%
Student > Bachelor 3 9%
Other 2 6%
Other 1 3%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 59%
Chemistry 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 5 16%