Haja N. Kadarmideen's Systems Biology in Animal Production and Health, Vol. 2 PDF


By Haja N. Kadarmideen

ISBN-10: 331943330X

ISBN-13: 9783319433301

ISBN-10: 3319433326

ISBN-13: 9783319433325

This two-volume paintings offers an summary on numerous cutting-edge experimental and statistical tools, modeling techniques and software program instruments which are on hand to generate, combine and learn multi-omics datasets on the way to observe biomarkers, genetic markers and power causal genes for superior animal creation and health and wellbeing. The booklet will comprise on-line assets the place extra info and courses should be accessed. a few chapters additionally include machine programming codes and instance datasets to supply readers hands-on (computer) exercises.
This moment quantity bargains with built-in modeling and analyses of multi-omics datasets from theoretical and computational ways and offers their purposes in animal construction and health and wellbeing in addition to veterinary medication to enhance prognosis, prevention and therapy of animal ailments. This publication is appropriate for either scholars and academics in animal sciences and veterinary medication in addition to to researchers during this discipline.

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Extra info for Systems Biology in Animal Production and Health, Vol. 2

Sample text

Other examples of miRNA–mRNA comparisons in pig disease studies will follow in the example sections of this chapter. Another example of multilevel data integration analysis can be seen in the combination of GWAS and transcriptomic data. The first expression quantitative trait loci (eQTL) studies in pig were conducted to examine muscle development, carcass and meat quality traits; however, more and more eQTL studies have focused on pig health (Ernst and Steibel 2013). Ponsuksili et al. (2012) investigated the relation between SNP markers from the PorcineSNP60 BeadChip, gene expression in liver 38 M.

Using spatial statistics, it is possible to detect modules and specific genes that are linked with a terminal phenotype. This analysis 30 N. Villa-Vialaneix et al. is not detailed in the present chapter and we encourage the interested readers to refer to (Villa-Vialaneix et al. 2013). Conclusion The prime objective was to decipher the processes underlying a list a genes whose expression is (partially) under genetic control. Due to an incomplete annotation of mammalian genomes, we proposed a statistical approach based on Gaussian graphical models for estimating and mining co-expression of a list of genes.

2015 Xing et al. 2014 Miller et al. 2012 P P C T S A V R stop P Loving et al. Wysocki et al. 2012 Air-Ali et al. 2011 Luo et al. 2014 jia et al. 2015 Li et al. 2015 miRNAome 3' 5' CTGCATGGC Hicks et al. 2013 Cong et al. 2014 Fig. 1 Overview of -omics studies concerning porcine reproductive and respiratory syndrome (PRRS) in pig. For more details, see “Example 1: Overview of -omics studies concerning porcine reproductive and respiratory syndrome (PRRS) in pig” understand PRRSv and its replicative life cycle, but the host point of view during PRRSv infection is also extensively studied.

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Systems Biology in Animal Production and Health, Vol. 2 by Haja N. Kadarmideen

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