Mathematica for Bioinformatics A Wolfram Language Approach to Omics
This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed
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Mathematica for Bioinformatics A Wolfram Language Approach to Omics
Mathematica for Bioinformatics
George Mias
Mathematica for Bioinformatics A Wolfram Language Approach to Omics
123
George Mias Department of Biochemistry and Molecular Biology, Institute for Quantitative Health Science and Engineering Michigan State University East Lansing, MI USA
ISBN 978-3-319-72376-1 ISBN 978-3-319-72377-8 https://doi.org/10.1007/978-3-319-72377-8
(eBook)
Library of Congress Control Number: 2018931483 © Springer International Publishing AG 2018 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To my family
Preface
This monograph presents an introduction to using the Wolfram Language for Bioinformatics. The content stems from many years of using the Wolfram Language, previously as Mathematica, in different fields: initially as an undergraduate, doing differential equations homework as a freshman, nuclear structure calculations, as a graduate student in theoretical physics calculating Feynman diagrams and working out quantum dynamics in a system, as a postdoc in genetics initially parsing database information and mapped data, and expanding analysis in my own laboratory to mass spectrometry, transcriptomes, protein data, microarray analysis, and more. The intent of this material is to put together various training problems I have used, primarily to get students to begin thinking about a problem, and really look at the details of their solution. The work builds gradually from basic concepts and introduction of the Wolfram Language and coding paradigms in Mathematica, to building explicit working examples derived from typical research applications using
