Mathematical Models in Biology Bringing Mathematics to Life
This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy. The state-of-the art research in biology and the statistical and analytical challenges facing huge m
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matical Models in Biology Bringing Mathematics to Life
Mathematical Models in Biology
Valeria Zazzu • Maria Brigida Ferraro Mario R. Guarracino Editors
Mathematical Models in Biology Bringing Mathematics to Life
123
Editors Valeria Zazzu Institute of Genetics and Biophysics (IGB) “ABT” National Research Council of Italy (CNR) Naples, Italy
Maria Brigida Ferraro Department of Statistical Sciences Sapienza University of Rome Rome, Italy
Mario R. Guarracino High Performance Computing and Networking Institute (ICAR) National Research Council of Italy (CNR) Naples, Italy
ISBN 978-3-319-23496-0 DOI 10.1007/978-3-319-23497-7
ISBN 978-3-319-23497-7 (eBook)
Library of Congress Control Number: 2015956528 Mathematics Subject Classification (2010): 92c99,92Bxx, 97M10, 90B10, 90B15, 92C42, 92B20 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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 Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com)
Preface
Life scientists are not always fully aware of the powerful role that mathematical models have in both answering biological research questions and in making predictions. Scientists have a clear view of the problem; they know the questions; they have identified ways to answer; and they produce the data to be analysed. Novel high throughput technologies are utilized that give rise to an unprecedented quantity of data. However, the data is ‘noisy’, and the answer to each question can be well hidden under terabytes of incomprehensible text files. It is here that the mathematicians can help: they know ‘how’ to do things; they love the huge, ugly text files; they foresee hundreds of statistics that could be calculated; they want to try all of them because there is always uncertainty. Mathematicians see paths, trends, connections, and correlations. Ultimately the need to identify the beautiful bio
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