Statistical Analysis of Next Generation Sequencing Data
Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimen
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Somnath Datta Dan Nettleton Editors
Statistical Analysis of Next Generation Sequencing Data
Frontiers in Probability and the Statistical Sciences
Series Editors: Frederi G. Viens, Department of Statistics, Purdue University, West Lafayette, USA Dimitris N. Politis, Department of Mathematics, University of California, San Diego, La Jolla, USA Hannu Oja, Department of Mathematics and Statistics, University of Turku, Turku, Finland Michael Daniels, Division of Statistics and Scientific Computation, University of Texas, Austin, USA (Editor-in-Chief) Somnath Datta Department of Bioinformatics & Biostatistics, University of Louisville, Louisville, USA
For further volumes: http://www.springer.com/series/11957
Somnath Datta • Dan Nettleton Editors
Statistical Analysis of Next Generation Sequencing Data
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Editors Somnath Datta Department of Bioinformatics and Biostatistics University of Louisville Louisville, KY, USA
Dan Nettleton Department of Statistics Iowa State University Ames, IA, USA
ISBN 978-3-319-07211-1 ISBN 978-3-319-07212-8 (eBook) DOI 10.1007/978-3-319-07212-8 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014942692 © Springer International Publishing Switzerland 2014 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.sprin
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