Modern Molecular Biology Approaches for Unbiased Discovery in Cancer
A convergence of advancements in molecular biology, engineering, computer science, biostatistics and other disciplines has made possible the development of technologies facilitating the massively parallel investigation of the complex biological phenomena
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Applied Bioinformatics and Biostatistics in Cancer Research Series editor: Jeanne Kowalski, Steven Piantadosi
For other titles published in this series, go to www.springer.com/series/7616
Srinivasan Yegnasubramanian William B. Isaacs ●
Editors
Modern Molecular Biology Approaches for Unbiased Discovery in Cancer Research
Editors Srinivasan Yegnasubramanian Department of Oncology Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University, School of Medicine Baltimore, MD USA [email protected]
William B. Isaacs Department of Urology, Pharmacology, Oncology Sidney Kimmel Comprehensive Cancer Center Brady Urological Institute Johns Hopkins University, School of Medicine Baltimore, MD USA [email protected]
ISBN 978-0-387-69744-4 e-ISBN 978-0-387-69745-1 DOI 10.1007/978-0-387-69745-1 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010933871 © Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Molecular biology has rapidly advanced since the discovery of the basic flow of information in life, from DNA to RNA to proteins. While there are several important and interesting exceptions to this general flow of information, the importance of these biological macromolecules in dictating the phenotypic nature of living creatures in health and disease is paramount. In the last one and a half decades, and particularly after the completion of the Human Genome Project, there has been an explosion of technologies that allow the broad characterization of these macromolecules in physiology, and the perturbations to these macromolecules that occur in diseases such as cancer. In this volume, we will explore the modern approaches used to characterize these macromolecules in an unbiased, systematic way. Such technologies are rapidly advancing our knowledge of the coordinated and complicated changes that occur during carcinogenesis, and are providing vital information that, when correctly interpreted by biostatistical/bioinformatics analyses, can be exploited for the prevention, diagnosis, and treatment of human cancers. The primary purpose of this volume is to help bridge the gap between molecular biologists/ cancer researchers and bioinformatics/computational biology researc
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