Bioinformatics Volume I: Data, Sequence Analysis, and Evolution
This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Ed
- PDF / 14,035,598 Bytes
- 489 Pages / 504.63 x 737.01 pts Page_size
- 53 Downloads / 229 Views
Jonathan M. Keith Editor
Bioinformatics Volume I: Data, Sequence Analysis, and Evolution Second Edition
METHODS
IN
MOLECULAR BIOLOGY
Series Editor John M. Walker School of Life and Medical Sciences University of Hertfordshire Hatfield, Hertfordshire, AL10 9AB, UK
For further volumes: http://www.springer.com/series/7651
Bioinformatics Volume I: Data, Sequence Analysis, and Evolution Second Edition
Edited by
Jonathan M. Keith Monash University Melbourne, VIC, Australia
Editor Jonathan M. Keith Monash University Melbourne, VIC, Australia
ISSN 1064-3745 ISSN 1940-6029 (electronic) Methods in Molecular Biology ISBN 978-1-4939-6620-2 ISBN 978-1-4939-6622-6 (eBook) DOI 10.1007/978-1-4939-6622-6 Library of Congress Control Number: 2016955824 © Springer Science+Business Media New York 2017 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Humana Press imprint is published by Springer Nature The registered company is Springer Science+Business Media LLC The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
Preface Bioinformatics sits at the intersection of four major scientific disciplines: biology, mathematics, statistics, and computer science. That’s a very busy intersection, and many volumes would be required to provide a comprehensive review of the state-of-the-art methodologies used in bioinformatics today. That is not what this concise two-volume work of contributed chapters attempts to do; rather, it provides a broad sampling of some of the most useful and interesting current methods in this rapidly developing and expanding field. As with other volumes in Methods in Molecular Biology, the focus is on providing practical guidance for implementing methods, using the kinds of tricks and tips that are rarely documented in textbooks or journal articles, but are nevertheless widely known and used by practitioners, and important for getting the most out of a method. The sharing of such expertise within the communi
Data Loading...
