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Systems Biology in Animal Production and Health, Vol. 2 [Hardcover]

Item : Systems Biology in Animal Production and Health, Vol. 2 [Hardcover]
Price : $200.99 (see below)
Category : Books
ISBN-10 ISBN-10 : 331943330X
ISBN-13 ISBN-13 : 9783319433301
Publisher Publisher : Springer
Binding Binding : Hardcover
Item ID : 100034610

This two-volume work provides an overview on various state of the art experimental and statistical methods, modeling approaches and software tools that are available to generate, integrate and analyze multi-omics datasets in order to detect biomarkers, genetic markers and potential causal genes for improved animal production and health. The book will contain online resources where additional data and programs can be accessed. Some chapters also come with computer programming codes and example datasets to provide readers hands-on (computer) exercises.


This second volume deals with integrated modeling and analyses of multi-omics datasets from theoretical and computational approaches and presents their applications in animal production and health as well as veterinary medicine to improve diagnosis, prevention and treatment of animal diseases. This book is suitable for both students and teachers in animal sciences and veterinary medicine as well as to researchers in this discipline.
Depicting gene co-expression networks underlying eQTLs.- Applications of systems biology to improve Pig health.- Computational methods for quality check, preprocessing and normalization of RNA-seq data for systems biology analysis.- Systems Biology Application in Feed Efficiency in Beef Cattle.- Nutritional systems biology to elucidate adaptations in lactation physiology of dairy cows.- Systems Biology and stem cell pluripotency  Revisiting the discovery of induced pluripotent stem cell.
Prof. Dr. Haja Kadarmideen, University of Copenhagen, Faculty of Health and Medical Sciences, Dept. Veterinary Clinical and Animal Sciences, Gr?nneg?rdsvej 7, 1870 Frederiksberg C, Denmark
This two-volume work provides an overview on various state of the art experimental and statistical methods, modeling approaches and software tools that are available to generate, integrate and analyze multi-omics datasets in order to detect biomarkers,l:

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