Integration of Genetic Variation as External Perturbation to Reverse Engineer Regulatory Networks from Gene Expression D
In systems genetics, genetic variations can be thought as a randomized, multifactorial set of perturbations and the gene/protein expression profile of each individual as the system response to a specific set of perturbations. Current systems genetics appr
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Gene Network Inference Verification of Methods for Systems Genetics Data
Gene Network Inference
Alberto de la Fuente Editor
Gene Network Inference Verification of Methods for Systems Genetics Data
123
Editor Alberto de la Fuente Leibniz-Institute for Farm Animal Biology Dummerstorf Germany
ISBN 978-3-642-45160-7 DOI 10.1007/978-3-642-45161-4
ISBN 978-3-642-45161-4
(eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013957428 Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
Phenotypic variation, including that which underlies health and disease in humans, often results from multiple interactions among numerous genetic and environmental factors. Systems Genetics (SG) seeks to understand this complexity by integrating the questions and methods of systems biology with those of genetics to solve the fundamental problem of interrelating genotype and phenotype in complex traits and diseases (Jansen 2003; Rockman 2008; Liu et al. 2009). SG has been made possible by the advance of experimental techniques that allow measuring biological compounds all along the molecular hierarchy from DNA, RNA, proteins, metabolites, fatty acids to whole organism phenotypes. Systems Genetics
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