Computational and Systems Biology 2018 Books catalogue

COMPUTATIONAL & SYSTEMS BIOLOGY 2018

www.cambridge.org/csb

CONTENTS Highlights Systems Biology and Network Science Genomics Bioinformatics Phylogenetics Computational Neuroscience Algorithms Knowledge Management and Data Mining Pattern Recognition and Machine Learning Statistics and Mathematical Modelling Cambridge Series in Statistical and Probabilistic Mathematics Also of Interest Professional Development

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Highlights Analyzing Network Data in Biology and Medicine An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Edited by Nataša Pržulj University College London

Bringing together leading experts in the field of network data analysis, this text introduces graph and network theory, cluster analysis and machine learning.

Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.

Contents: 1. From genetic data to medicine: from DNA samples to disease risk prediction in personalized genetic tests; 2. Epigenetic data and disease; 3. Introduction to graph and network theory; 4. Protein-protein interaction data, their quality, and major public databases; 5. Graphlets in network science and computational biology; 6.

Cluster analysis; 7. Machine learning for data integration in cancer precision medicine: matrix factorization approaches; 8. Machine learning for biomarker discovery: significant pattern mining; 9. Network alignment; 10. Network medicine; 11. Elucidating genotype-to-phenotype relationships via analyzes of human tissue interactomes; 12.

Network neuroscience; 13. Cytoscape: tool for analyzing and visualizing network data; 14. Analysis of the signatures of cancer stem cells in malignant tumours using protein interactomes and STRING database.

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Topological Data Analysis for Genomics and Evolution Topology in Biology

Raúl Rabadán Columbia University, New York

and Andrew J. Blumberg University of Texas, Austin

Algebraic topology is particularly suited for the analysis of high dimensional large data sets, including those in modern biology. The book introduces geometric and topological methods, including statistics, as well as applications to biology – including cancer genetics, single cell studies and reconstructing evolutionary relationships from genomic data.

Contents: Introduction; Part I. Topological Data Analysis: 1. Basic notions of algebraic topology; 2. Topological data analysis; 3. Statistics and topological inference; 4.

Manifold learning and metric geometry; Part II. Biological Applications: 5. Evolution, trees, and beyond; 6. Cancer genomics; 7. Single cell expression data; 8. Three dimensional structure of DNA; 9. Topological data analysis beyond genomics; 10. Conclusions.

2018 247 x 174 mm 475pp 978-1-107-15954-9 Hardback c. £39.99 / c. US$49.99 Publication November 2018 For all formats available, see

www.cambridge.org/9781107159549

2019 247 x 174 mm 450pp 978-1-108-43223-8 Paperback c. £34.99 / c. US$44.99 Publication January 2019 For all formats available, see

www.cambridge.org/9781108432238

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Highlights

REVISED AND UPDATED

Modern Prometheus

Editing the Human Genome with Crispr-Cas9

Revised and updated edition Jim Kozubek Massachusetts Institute of Technology

Would you change your genes if you could? Crispr-Cas9 technologies are now offering cheap and effective methods for editing the human genome. Telling the interwoven stories of the scientists involved, Kozubek traces events across a fifty-year period, demystifying how Crispr works and reflecting on the continuing ethical dilemmas it brings.

2018 228 x 152 mm 478pp 978-1-108-45462-9 Paperback £14.99 / US$19.95 For all formats available, see

www.cambridge.org/9781108454629

Computational Phylogenetics

An Introduction to Designing Methods for Phylogeny Estimation

Tandy Warnow University of Illinois, Urbana-Champaign

A comprehensive account of basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, making the book accessible to students from biology, computer science, statistics, and applied mathematics.

Contents: Part I. Basic Techniques; Part II. Molecular Phylogenetics.

2017 247 x 174 mm 394pp 58 b/w illus. 8 colour illus. 11 tables 250 exercises 978-1-107-18471-8 Hardback £44.99 / US$59.99 For all formats available, see

www.cambridge.org/9781107184718

Making Sense of Genes Kostas Kampourakis Université de Genève

An interdisciplinary introduction to the concept of genes, which debunks simplistic, and sometimes inaccurate, conceptions and highlights the potential impact of genetics. Combining current research with philosophical, historical, psychological and educational perspectives, this book provides an accessible but rigorous overview for non-experts.

‘A beautifully and lucidly written book of great insights … I have not seen in one volume such clear analysis of the nuanced view of the ‘gene’ … A valuable book that gives genes a new and accurate meaning and does justice to understanding genetics in a non-reductive [manner] through a systems approach. The clarity, precision and insights are wonderful.’

Sheldon Krimsky, Tufts University, Massachusetts ‘… an extremely intellectual and erudite treatment of the history and meaning of genes and genomes. The book is half hard-core genetics and half provocative and fascinating philosophy of science … cogently written, highly informative and genuinely thought-provoking.’

John Avise, University of California 2017 228 x 152 mm 314pp 97 b/w illus. 10 tables 978-1-107-12813-2 Hardback £67.99 / US$84.99 978-1-107-56749-8 Paperback £24.99 / US$32.99 For all formats available, see

www.cambridge.org/9781107128132

Highlights

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Dance to the Tune of Life Biological Relativity

Denis Noble University of Oxford

Challenging the common gene-centric approach to organisms, this book articulates a relativistic theory of biology. It is grounded in up-to-date biological research and rigorous application of mathematics to biology; however, it is presented in a non-technical manner for the general reader, and requires no familiarity with complex biology, mathematics or philosophy.

‘Among its many merits, this remarkable book deserves to become a classic text in the philosophy of science. Almost alone among philosophers of science, Noble is a practising scientist; and unusually among practising scientists, he is an accomplished philosopher. His book brings out, with unparalleled clarity, how the scientific endeavour involves not only empirical inquiry but also conceptual structure. Noble shows how, on the negative side, popular presentations of sound biological results may be vitiated by bad metaphysics, and how, on the positive side, science and philosophy may extend the boundaries of knowledge by a unified epistemology. He ends, however, with a salutary warning that there may well be a limit to the human capacity to know the answers to ultimate questions.’

Sir Anthony Kenny, University of Oxford ‘I think this a marvellous book. Denis Noble emphasises that genes, organs and systems dance to the tune of the organism and its social and physical environment. He sets the relativity of biology in a remarkable scientific sweep, ranging from cosmology to human belief systems. He reminds me of another great biologist, C. H. Waddington, to whom Noble pays handsome tribute. Writing with clarity and charm, Noble attempts to break down silos of knowledge inhabited by scientists who fail to come out and engage with others. …

Broadening minds in an era of intense specialisation is more important than ever.

Noble deserves to be successful in his desire to do just that and I hope that he will be.’

Sir Patrick Bateson, University of Cambridge 2016 228 x 152 mm 302pp 21 b/w illus. 26 colour illus.

978-1-107-17624-9 Hardback £17.99 / US$24.95 For all formats available, see

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Highlights

TEXTBOOK

Network Science Albert-László Barabási Northeastern University, Boston

With Márton Pósfai

Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of disciplines from physics to the social sciences, is the only book needed for an introduction to network science. In modular format, with clear delineation between undergraduate and graduate material, its unique design is supported by extensive online resources.

‘Network Science introduces the reader to basic graph-theory notions, elements of data analysis, statistics, and some of the computational and modeling methods that allow us to interrogate network data sets. Throughout, the book illustrates those ideas with concrete and intuitive examples that also help achieve its main purpose, which is to instill network-based thinking in the reader. The writing is engaging, peppered throughout with stories, anecdotes, and historical connections … Its discussion of the spread of disease in particular clearly illustrates the necessity of network thinking in solving a fundamental and practical problem that affects us all. The book is carefully structured and visually pleasing, with lots of colorful diagrams, figures, tables, and schematics to help convey fundamental concepts and ideas. Its pedagogical value is significantly enhanced by a Tufte-style exposition that recognizes and works with the nonlinear character of learning. The wide margins contain bits of information … that expand on the main text.’

Zoltán Toroczkai, Physics Today ‘… a pleasure to read. The passion of the author for his field is reflected in the book he has written.’

Panos Louridas, SIGACT Newsletter PROSE Award for Textbook/Best in Physical Sciences and Mathematics 2017 – Winner 2016 246 x 189 mm 475pp 371 colour illus. 12 tables 30 exercises 978-1-107-07626-6 Hardback £40.99 / US$60.99 For all formats available, see

www.cambridge.org/9781107076266

Highlights

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Computer Age Statistical Inference Algorithms, Evidence, and Data Science

Bradley Efron Stanford University, California

and Trevor Hastie Stanford University, California

Computing power has revolutionized the theory and practice of statistical inference. This book delivers a concentrated course in modern statistical thinking by tracking the revolution from classical theories to the large-scale prediction algorithms of today. Anyone who applies statistical methods to data will benefit from this landmark text.

‘How and why is computational statistics taking over the world? In this serious work of synthesis that is also fun to read, Efron and Hastie, two pioneers in the integration of parametric and nonparametric statistical ideas, give their take on the unreasonable effectiveness of statistics and machine learning in the context of a series of clear, historically informed examples.’

Andrew Gelman, Columbia University, New York ‘This unusual book describes the nature of statistics by displaying multiple examples of the way the field has evolved over the past sixty years, as it has adapted to the rapid increase in available computing power. The authors’ perspective is summarized nicely when they say, ‘very roughly speaking, algorithms are what statisticians do, while inference says why they do them’. The book explains this ‘why’; that is, it explains the purpose and progress of statistical research through a close look at many major methods, methods the authors themselves have advanced and studied at great length. Both enjoyable and enlightening, Computer Age Statistical Inference is written especially for those who want to hear the big ideas, and see them instantiated through the essential mathematics that defines statistical analysis.

It makes a great supplement to the traditional curricula for beginning graduate students.’

Rob Kass, Carnegie Mellon University, Pennsylvania

Contents: Part I. Classic Statistical Inference; Part II. Early Computer-Age Methods; Part III. Twenty-First Century Topics.

PROSE Award for Computing and Information Sciences 2017 – Winner Institute of Mathematical Statistics Monographs, 5

2016 228 x 152 mm 495pp 5 b/w illus. 40 colour illus. 50 tables 978-1-107-14989-2 Hardback £45.99 / US$74.99 For all formats available, see

www.cambridge.org/9781107149892

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Highlights

The Inner Workings of Life Vignettes in Systems Biology

Eberhard O. Voit Georgia Institute of Technology

Comprised of short vignettes, this introductory text explains key concepts within a systems biology approach without resorting to mathematical equations or technical jargon. Suitable for students and researchers alike, this is the first book aimed at a more introductory level to systems biology.

‘Popular science books have enabled the public to gain an appreciation for advances in a variety of esoteric disciplines ranging from chaos theory to evolutionary biology. But we lack a ‘fun read’ for the emerging field of systems biology, which is bringing together computer scientists, physicists and biologists to figure out the complex inner workings of living cells. Eberhard O. Voit has filled that gap with his new book. Voit provides the reader with an insider’s tour of systems biology, providing us [with] a sense of how this exciting field will change our lives in the coming years. Impress and challenge your book club with this new offering.’

James J. Collins, Massachusetts Institute of Technology and Harvard University, Massachusetts ‘This delightful book provides a very readable overview of the emerging field of systems biology. The author, an expert in the field, describes fundamental concepts and tools in systems biology in a conversational style that makes the material very accessible to nonexperts and a joy to read. The combination of interesting conceptual information, humor, history, and anecdotes makes this book hard to put down. And no need to worry about the technical mathematics underlying much of systems biology; there is not a single equation in the book! So if you are interested in learning something about negative feedback loops, adaptation, small regulatory RNAs, -omics research, chaos, microarrays, data mining, genome-wide association studies, or a host of other concepts and tools without diving into the details, this is the book for you.’

Richard Bertram, Florida State University 2016 228 x 152 mm 222pp 978-1-107-14995-3 Hardback £51.99 / US$83.99 978-1-316-60442-7 Paperback £19.99 / US$30.99 For all formats available, see

www.cambridge.org/9781107149953

Highlights

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TEXTBOOK

Genome-Scale Algorithm Design

Biological Sequence Analysis in the Era of High-Throughput Sequencing

Veli Mäkinen, Djamal Belazzougui Fabio Cunial and Alexandru I. Tomescu University of Helsinki

Outlining the fundamental algorithms and data structures that power modern sequence analysis workflows, this book provides a powerful toolkit for students and researchers in bioinformatics and computer science. Its numerous examples and exercises are designed to help readers understand applications of the latest algorithm techniques, providing tools for further research.

‘Genome-Scale Algorithm Design is a well-thought-out … book that fills a gap in the recent literature … [on algorithms] for bioinformatics. It offers a sound, clear, and rich overview of computer science methods for the challenge of today’s biological sequence analysis. I [recommend] it to students as well as to researchers in the field.’

Nadia Pisanti, University of Pisa ‘This book will be a new reference text for string data structures and algorithms, as well as their applications in computational molecular biology and genome analysis.

The technically precise style, illustrated with a great collection of well-designed examples and many exercises, makes it an ideal resource for researchers, students, and teachers.’

Jens Stoye, Universität Bielefeld

Contents: Part I. Preliminaries; Part II. Fundamentals of Biological Sequence Analysis; Part III. Genome-Scale Index Structures; Part IV. Genome-Scale Algorithms; Part V. Applications.

2015 247 x 174 mm 413pp 90 b/w illus. 4 tables 269 exercises 978-1-107-07853-6 Hardback £42.99 / US$69.99 For all formats available, see

www.cambridge.org/9781107078536

eBooks available at www.cambridge.org/ebookstore

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Highlights

TEXTBOOK

Systems Biology

Constraint-based Reconstruction and Analysis

Bernhard Ø. Palsson University of California, San Diego

Reflecting the latest developments, this textbook explains how quantitative and computable genotype-phenotype relationships can be built using a genome-wide basis of information about the gene portfolio of an organism. It has been developed through extensive classroom use, providing a conceptual framework in addition to invaluable modelling tools and computational approaches.

‘One of the defining challenges of systems biology is to determine the structures and mechanisms by which complex networks of genes, proteins and metabolites control cell processes and molecular dynamics. Bernhard Ø. Palsson is a leading pioneer in constructing and analyzing genome-scale models of such networks. Here Palsson offers students an insider’s guided tour of the concepts, principles and techniques underlying this emerging field. The book is brilliantly laid out and offers professors well-structured, much-needed material for a graduate-level course in systems biology and network science.’

James J. Collins, Massachusetts Institute of Technology ‘This is a real tour de force. With enormous clarity, Bernhard Ø. Palsson sets out the what, why and how of network and systems biology, and of the important role of genome-wide reconstructions – especially, to date, of metabolism – in realising it … this is a masterful survey of the field by one of its leading practitioners. The development is nicely logical … If you are interested in network biology at all, then this book is for you.’

Douglas Kell, University of Manchester

Contents: Part I. Network Reconstruction; Part II. Mathematical Properties of Reconstructed Networks; Part III. Determining the Phenotypic Potential of Reconstructed Networks; Part IV. Basic and Applied Uses; Part V. Conceptual Foundations.

2015 247 x 174 mm 550pp 27 b/w illus. 244 colour illus. 45 tables 978-1-107-03885-1 Hardback £47.99 / US$85.99 For all formats available, see

www.cambridge.org/9781107038851

Highlights

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TEXTBOOK

Python Programming for Biology Bioinformatics and Beyond

Tim J. Stevens MRC Laboratory of Molecular Biology, Cambridge

and Wayne Boucher University of Cambridge

This book presents core concepts in computational biology in an accessible, jargonfree manner and offers a complete foundation course in the Python language, with entry points for novices and experienced programmers alike. Material covers traditional bioinformatics and many topics beyond, with practical examples for Python versions 2 and 3.

‘As a long-time advocate of Python as the language of choice for both the bulk of biological data analysis and for teaching computer programming to molecular life scientists, I am delighted to see this book. [It] provides a well-focused introduction to Python programming but then goes on to use the clarity of the Python language to demystify a wide range of commonly applied data processing and analysis techniques that arise in modern cell and molecular biology. The integration of straightforward introductions to sequence analysis, image processing and statistical analysis (amongst others) into a book on Python is inspired. The clarity of the Python language helps to show that often ‘yes it really is that simple’, in a way that staring at a mathematical expression often fails to, and the programming element allows the reader to become actively involved.’

Jeremy Craven, University of Sheffield ‘Python Programming for Biology is an excellent introduction to the challenges that biologists and biophysicists face. The choice of Python is appropriate; we use it in most research in our laboratories at the interface between biology, biochemistry and bioinformatics. The book takes us through programming principles for a beginner with a biological background, introducing the basics. It has useful tips for improving code and some specific examples, for example in sequence analysis, macromolecular structures, image processing and databases. I was pleased to see that there is a substantive section on machine learning which in the era of ‘big data’ is becoming central to much of the software developed for biomedical and agri-biotech research.’

Tom Blundell, University of Cambridge 2015 247 x 174 mm 711pp 91 b/w illus. 11 colour illus. 3 tables 978-0-521-89583-5 Hardback £91.99 / US$151.00 978-0-521-72009-0 Paperback £46.99 / US$72.99 For all formats available, see

www.cambridge.org/9780521895835

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Systems Biology and Network Science Graphical Models for Categorical Data Alberto Roverato Università di Bologna

For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.

SemStat Elements

2017 228 x 152 mm 178pp 978-1-108-40496-9 Paperback £27.99 / US$34.99 For all formats available, see

www.cambridge.org/9781108404969

Topics at the Frontier of Statistics and Network Analysis

(Re)Visiting the Foundations

Eric D. Kolaczyk Boston University

This snapshot of the current frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design. Primarily for graduate students and researchers in statistics and closely related fields, emphasis is not only on what has been done, but on what remains to be done.

SemStat Elements

2017 228 x 152 mm 145pp 978-1-108-40712-0 Paperback £27.99 / US$34.99 For all formats available, see

www.cambridge.org/9781108407120

Algorithms and Models for Network Data and Link Analysis François Fouss Université Catholique de Louvain, Belgium

Marco Saerens Université Catholique de Louvain, Belgium

and Masashi Shimbo Nara Institute of Science and Technology, Japan

Network data capture social and economic behavior in a form that can be analyzed using computational tools.

In this entry-level guide, algorithms for extracting information are derived in detail and summarized in pseudocode. This book is intended primarily for computer scientists, engineers, statisticians, and physicists, but it is also accessible to social network scientists more broadly.

‘This is a remarkable book that contains a coherent and unified presentation of many recent network data analysis concepts and algorithms. Rich with details and references, this is a book from which faculty and students alike will learn a lot!’

Vincent Blondel, Université Catholique de Louvain, Belgium ‘An impressive compilation of motivation, derivations, and algorithms for a wealth of methods relevant to assessing distance and (dis)similarity, importance, labeling, and clustering of network nodes and links – tasks fundamental to network analysis in practice. The gathering of diverse elements from random walks, kernels, and other interrelated topics is particularly welcome.’

Eric D. Kolaczyk, Boston University 2016 253 x 177 mm 543pp 14 b/w illus. 7 tables 978-1-107-12577-3 Hardback £66.99 / US$83.99 For all formats available, see

www.cambridge.org/9781107125773

Systems Biology and Network Science

Systems Genetics

Linking Genotypes and Phenotypes

Systems Biology of Cancer Edited by Sam Thiagalingam

Edited by Florian Markowetz

Boston University School of Medicine

Cancer Research UK Cambridge Institute

Cancer is a complex group of diseases with many possible causes. Bringing together state-of-the-art contributions of international experts, Systems Biology of Cancer proposes an ultimate goal for the whole scientific community: exploiting systems biology to generate in-depth knowledge based on blueprints that are unique to each type of cancer.

and Michael Boutros German Cancer Research Center, Heidelberg

Gathering contributions from leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. Researchers and graduate students in genetics, functional genomics, bioinformatics, computational biology, systems biology and biotechnology will find this a valuable and timely tool.

‘Since the completion of the Human Genome Project we hold the ‘book of life’ in our hands, but for the most part, we do not understand how to interpret it. We lack an understanding of the grammar that it is written in. With this book the authors put together an impressive collection of chapters that provide insights into our current efforts to understand how genetic information is integrated, coordinated and ultimately assembled into biological systems. If you are interested in how to decipher the grammar of life this is a must read!’

Frank Buchholz, Technische Universität Dresden, Germany

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Contents: Part I. Introduction to Modular Organization of the Networks of Gene Functions and Cancer; Part II. Alterations in the Regulatory Networks of Fundamental Cellular and Molecular Events in Cancer; Part III. Networks of Events Responsible for the Manifestation of Aberrant Genetic and Epigenetic Codes in Cancer; Part IV. Functional Networks of Events that Modulate Phenotypic Manifestation of Cancer; Part V. Current State of the Evolving MMMN Cancer Progression Models of Cancer; Part VI. Applications of Comprehensive Cancer Progression Models in the Fight against Cancer.

2015 246 x 189 mm 548pp 83 b/w illus. 20 tables 978-0-521-49339-0 Hardback £91.99 / US$146.00 For all formats available, see

www.cambridge.org/9780521493390

Cambridge Series in Systems Genetics

2015 247 x 174 mm 268pp 101 b/w illus. 12 tables 978-1-107-01384-1 Hardback £72.99 / US$121.00 For all formats available, see

www.cambridge.org/9781107013841

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Systems Biology and Network Science

HIGHLIGHT

Models of Life

Dynamics and Regulation in Biological Systems

Kim Sneppen Niels Bohr Institutet, Copenhagen

Focusing on simple models, this book describes methods for studying the quantitative aspects of life through physical modelling, using E. coli and phage lambda as key examples. It encompasses fields such as quantitative molecular biology, systems biology and biophysics, providing a tool for students from both biological and physical science backgrounds.

‘Models of Life is an insight of a physicist into biological regulatory mechanisms. It provides a quantitative basis of how many of the biological systems work. Using simple logic and mathematics, Kim Sneppen, a world renowned scientist and thinker, has created a must-read for investigators in quantitative biology. The book provides a clear explanation of triumphant experiments in a lucid way with crisp figures. The brilliance of the author’s analytical mind is on display when one sees how he explains some of the exciting paradigmatic regulatory systems, beginning with the basics of molecular biology. The book is also replete with intellectually challenging problem questions for readers, making the book an excellent text for students as well.’

Sankar Adhya, National Cancer Institute, Maryland ‘Kim Sneppen’s insightful book covers lots of ground in describing biological systems at different time and length scales and levels of resolution. Its different chapters unified by the author’s modeling philosophy are sure to be of interest to a very diverse group of readers … Readers interested in agent-based modeling will find it applies to systems as diverse as epigenetics, propagation of information and evolutionary patterns in fossil records. Dedicated chapters combine biophysics and systems biology of gene regulation and protein-protein interactions. The book provides especially deep coverage of biology of phages, bacteria and their interactions within ecosystems.

It would make an excellent textbook for one or even several university courses on systems or evolutionary biology. In fact when teaching these courses I will use it heavily myself and recommend it to my students.’

Sergei Maslov, Brookhaven National Laboratory, New York 2014 247 x 174 mm 350pp 25 b/w illus. 193 colour illus. 5 tables 165 exercises 978-1-107-06190-3 Hardback £42.99 / US$69.99 For all formats available, see

www.cambridge.org/9781107061903

Systems Biology and Network Science

Networks, Crowds, and Markets

Systems Biology

Properties of Reconstructed Networks

Reasoning about a Highly Connected World

Bernhard Ø. Palsson

David Easley and Jon Kleinberg

This textbook devoted to systems biology describes how to model networks, how to determine their properties, and how to relate these to phenotypic functions. The links between the mathematical ideas and biological processes are made clear, and the book reflects the irreversible trend of increasing mathematical content in biology education. Therefore to assist both teacher and student, Palsson provides problem sets on an associated website.

Cornell University, New York

This introductory book on the new science of networks takes an interdisciplinary approach to understand many phenomena of modern society: the rapid growth of the internet, the ease of global communication, the spread of news and information, and the way epidemics and financial crises develop with startling speed and intensity.

‘The first college-level text on network science, it should be a big hit for students in economics and business.’

Stan Wasserman, Indiana University ‘In this remarkable book, David Easley and Jon Kleinberg bring all the tools of computer science, economics, and sociology to bear on one of the great scientific challenges of our time: understanding the structure, function, and dynamics of networks in society. Clearly written and covering an impressive range of topics, Networks, Crowds, and Markets is the ideal starting point for any student aspiring to learn the fundamentals of the emerging field of network science.’

Duncan Watts, author of Six Degrees: The Science of a Connected Age

Contents: Part I. Graph Theory and Social Networks; Part II. Game Theory; Part III. Markets and Strategic Interaction in Networks; Part IV. Information Networks and the World Wide Web; Part V. Network Dynamics: Population Models; Part VI. Network Dynamics: Structural Models; Part VII. Institutions and Aggregate Behavior.

Fredrick W. Lanchester Prize for the Best Contribution to Operations Research and the Management Sciences Published in English 2011 – Winner 2010 253 x 215 mm 744pp 332 b/w illus. 128 exercises 978-0-521-19533-1 Hardback £46.99 / US$64.99 For all formats available, see

www.cambridge.org/9780521195331

University of California, San Diego

‘… [deserves] serious attention from any quantitative scientist or physicist who hopes to learn about modern biology … a welcome departure from the typical biology textbook … a very readable introduction to the subject … this is an exciting time for biology. The author exposes readers to enough material that the research literature in quantitative systems biology should become accessible.’

Physics Today

Contents: Part I. Reconstruction of Biochemical Networks; Part II. Mathematical Representation of Reconstructed Networks; Part III. Capabilities of Reconstructed Networks.

2006 253 x 177 mm 336pp 978-0-521-85903-5 Hardback £59.99 / US$89.99 For all formats available, see

www.cambridge.org/9780521859035

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Genomics Genome-Wide Association Studies

From Polymorphism to Personalized Medicine

Edited by Krishnarao Appasani GeneExpression Systems, Inc., Massachusetts

Foreword by Stephen W. Scherer University of Toronto

and Peter M. Visscher University of Queensland

Genome-wide association studies (GWAS) will have increasing importance in the postgenomic era. This timely publication, written by leading experts from academia and industry, provides an essential overview for both established scientists and students, focusing on the use of GWAS in the context of disease biology and personalized medicine.

‘Genome-Wide Association Studies: From Polymorphism to Personalized Medicine, edited by Krishnarao Appasani, summarizes most elegantly the contributions of GWAS as a major discovery tool linking complex disease phenotypes to genetic variants and associated biological pathways and gene networks that were previously unknown. GWAS has transformed the genetic landscape in complex disease and has informed us more about the genetic underpinnings of common diseases and pharmacogenomics traits than any other tool to date. The present book captures this development elegantly and is a pleasure to read.’

Hakon Hakonarson, University of Pennsylvania ‘From genotype to phenotype: this biological paradigm is now elucidated and extended to the vision of genomic medicine. This highly informative book combines the current knowledge of genome wide association studies with the pathophysiology, epidemiology of human disease, and health condition, especially, implicating in the development of personalized and precision medicine. The combination of technical, scientific, medical, and pharmaco-economic aspects supports the high value of this book for scientists and medical specialists working in the field.’

Christine Günther, Chief Executive Officer, apceth GmbH and Co. KG, Munich, Germany

Contents: Part I. Genome-Wide Association Studies; Part II. Genome-Wide Studies in Disease Biology; Part III. Single Nucleotide Polymorphisms, Copy Number Variants, Haplotypes and eQTLs; Part IV. Next-Generation Sequencing Technology and Pharmacogenomics; Part V. Population Genetics and Personalized Medicine.

2016 247 x 174 mm 432pp 67 b/w illus. 26 colour illus. 24 tables 978-1-107-04276-6 Hardback £121.00 / US$194.00 For all formats available, see

www.cambridge.org/9781107042766

Genomics

Next Generation Systematics Edited by Peter D. Olson Natural History Museum, London

Joseph Hughes University of Glasgow

and James A. Cotton Wellcome Trust Sanger Institute, Cambridge

The growing power of DNA sequencing technology is transforming biological sciences. Systematics, the science of describing biological diversity and its origins, is no exception. This volume explores the impact next generation sequencing (NGS) is having and will continue to have on systematics and related fields through reviews, forwardlooking perspectives and case studies.

Contents: Part I. Next Generation Phylogenetics; Part II. Next Generation Biodiversity Science; Part III. Next Generation Challenges and Questions.

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Bacterial Genomics

Genome Organization and Gene Expression Tools

Aswin Sai Narain Seshasayee Tata Institute of Fundamental Research, Mumbai, India

This book presents a review of the cutting-edge literature – emphasizing data analysis and interpretation – in a format that can be accessible to biologists. Simultaneously, the book provides materials to stimulate bioinformaticians and computational biologists working on cancer biology, mammalian development and epigenetics.

2015 244 x 170 mm 230pp 978-1-107-07983-0 Hardback £67.00 / US$102.00 For all formats available, see

www.cambridge.org/9781107079830

Systematics Association Special Volume Series, 85

2016 246 x 189 mm 351pp 40 b/w illus. 8 colour illus. 5 tables 978-1-107-02858-6 Hardback £62.99 / US$99.99 For all formats available, see

www.cambridge.org/9781107028586

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18

Genomics

NEW IN PAPERBACK

Epigenomics

From Chromatin Biology to Therapeutics

Edited by Krishnarao Appasani GeneExpression Systems, Inc., Massachusetts

Foreword by Azim Surani University of Cambridge

Leading experts from academia and both the biotechnology and pharmaceutical industries introduce the emerging field of epigenomics, covering a wide range of topics and methods such as basic chromatin biology, imprinting at genome-wide level, and the role of epigenomics in disease biology and epidemiology.

‘This is an excellent work, highly readable and well documented by more than a hundred scientists from academia and industry. The extensive coverage of current theory, new technologies, and disease mechanisms, all associated with epigenomics, make this book invaluable to students and researchers in a wide range of disciplines. Recommended for all academic libraries.’

Atsuo Ogura, RIKEN BioResource Center, Japan ‘Congratulations on a great book! It is a very impressive collection of highquality contributions in several relevant areas of epigenetics. I enjoyed reading it and I am sure that it will be a very useful resource for everyone in the epigenetics field. I will definitely recommend it to my colleagues!’

Karl Ekwall, Karolinska Institute, Sweden

Contents: Part I. Basics of Chromatin Biology and Biochemistry; Part II. Epigenomic Imprinting and Stem Cells; Part III. Epigenomic Assays and Sequencing Technology; Part IV. Epigenomics in Disease Biology; Part V. Epigenomics in Neurodegenerative Diseases; Part VI. Epigenetic Variation, Polymorphism and Epidemiological Perspectives.

2014 244 x 170 mm 574pp 100 b/w illus. 24 colour illus. 24 tables 978-1-107-69783-6 Paperback £55.99 / US$91.99 Also available 978-1-107-00382-8 Hardback £113.00 / US$180.00 For all formats available, see

www.cambridge.org/9781107697836

Bioinformatics

19

Python for Scientists

Integrating Omics Data

Second edition John M. Stewart

George Tseng University of Pittsburgh

University of Cambridge

Debashis Ghosh

Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets.

Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.

Colorado School of Public Health

Review of first edition: ‘… the practitioner who wants to learn Python will love it. This is the type of book I have been looking for to learn Python … concise, yet practical.’

Adhemar Bultheel, European Mathematical Society (euro-math-soc.eu) ‘… I still think the conciseness of the book is a major asset. It provides just enough to get you started with the language if you are already familiar with some computer programming or with a system like Maple or Mathematica.’

Adhemar Bultheel, European Mathematical Society (euro-math-soc.eu)

and Xianghong Jasmine Zhou University of Southern California

This book provides comprehensive coverage of information integration of omics, experimental data, and databases. It introduces state-of-theart methods developed by leaders in the field to handle information integration problems of omics data.

Popular technologies include microarray, next-generation sequencing, mass spectrometry, and proteomic assays.

2016 228 x 152 mm 476pp 147 b/w illus. 23 colour illus. 31 tables 978-1-107-06911-4 Hardback £89.00 / US$129.00 For all formats available, see

www.cambridge.org/9781107069114

2017 247 x 174 mm 270pp 978-1-316-64123-1 Paperback £29.99 / US$39.99 For all formats available, see

www.cambridge.org/9781316641231

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20

Bioinformatics

NEW IN PAPERBACK

HIGHLIGHT

Bioinformatics and Computational Biology in Drug Discovery and Development

TEXTBOOK

Edited by William T. Loging Mount Sinai School of Medicine, New York

Providing a comprehensive overview of the drug discovery and development pipeline, this book focuses on the integral role that computational biology methods play in this process. Covering technological advances and their relation to drug developmental processes, readers are exposed to new methods of discovery utilising the available technology.

‘We live in transformative times and perhaps big data and analytics represent a most interesting and essential concept of today. From the telescope to the microscope, our ability to peer into complexities of life has transformed humanity. Big data is the next major step in major transition. Bioinformatics and Computational Biology in Drug Discovery and Development is a road map to an inevitable future – a future where data define disease, diagnosis and drugs.

This book is an essential companion for anyone in drug development who has one foot in the present and one in the future.’

John Nosta, President, NOSTALAB 2018 244 x 170 mm 253pp 46 b/w illus. 9 colour illus. 3 tables 978-1-108-46115-3 Paperback £29.99 / US$39.99 Publication July 2018 Also available 978-0-521-76800-9 Hardback £44.99 / US$74.99 For all formats available, see

www.cambridge.org/9781108461153

Computing for Biologists

Python Programming and Principles

Ran Libeskind-Hadas Harvey Mudd College, California

and Eliot Bush Harvey Mudd College, California

Specifically designed for life science students with no prior computing experience, this textbook teaches computational problem-solving along with Python programming skills. The chapters cover three key tools – gene finding, sequence alignment and phylogenetic methods. An accompanying website features numerous integrated exercises, equipping students with the skills to write programs independently.

‘In my twenty years as a professor, I have never run across a textbook on bioinformatics algorithms that a biologist can read from cover to cover and understand. This is the one.’

Pavel Pevzner, Ronald R. Taylor Distinguished Professor of Computer Science, University of California, San Diego ‘This is an awesome book for anyone to get into computing. It is easy to follow and clearly structured so the reader understands what they are learning and why. The book provides the fundamentals concepts of computational biology and bioinformatics in parallel to gaining actual skills in computing and the ability to write your own Python programs! What I love about the book is how the authors ensure the concepts and skills are applicable to a clear and defined biological problem. The authors help demystify the various topics and bring the reader to understand the algorithms behind the programming tools by applying these to resolve an actual biological problem. This book is also an excellent resource for those involved in

Bioinformatics

training and education, and it provides plenty of exercises to use in the actual classroom.’

Maria Victoria Schneider, The Genome Analysis Centre (TGAC), UK

Contents: Part I. Python versus Pathogens; Part II. Sequence Alignment and Sex Determination; Part III. Phylogenetic Reconstruction and the Origin of Modern Humans; Part IV. Additional Topics.

2014 246 x 189 mm 217pp 8 b/w illus. 33 colour illus. 1 table 978-1-107-04282-7 Hardback £66.99 / US$110.00 978-1-107-64218-8 Paperback £35.99 / US$50.99 For all formats available, see

www.cambridge.org/9781107042827

Problems and Solutions in Biological Sequence Analysis Mark Borodovsky Georgia Institute of Technology

and Svetlana Ekisheva Georgia Institute of Technology

This companion to the highly successful textbook, Biological Sequence Analysis

by Durbin et al. (Cambridge, 1998), provides fully worked solutions to the original problems as well as new, fully worked problems. Together these will enable students to develop the problem solving skills that are essential for conducting successful research in the field of bioinformatics.

2006 247 x 174 mm 366pp 27 b/w illus. 27 tables 172 exercises 978-0-521-84754-4 Hardback £60.00 / US$112.00 978-0-521-61230-2 Paperback £36.99 / US$67.99

21

NEW IN PAPERBACK

Flexible Pattern Matching in Strings

Practical On-Line Search Algorithms for Texts and Biological Sequences

Gonzalo Navarro Universidad de Chile

and Mathieu Raffinot Centre National de la Recherche Scientifique (CNRS), Paris

This book presents several new string matching algorithms developed to handle the complex string problems arising from information retrieval and computational biology. The clear explanations, examples, and implementation efficiency maps will enable researchers, professionals, and students in bioinformatics, computer science, and software engineering to choose the most appropriate algorithms for their applications.

‘If you need efficient pattern matching for any kind of string then this is the only book I know that comes even close to providing you [with] the tools for the job.’

The Journal of the ACCU ‘I really enjoyed reading and studying this book. I am convinced it is a mustread, especially chapters 4 through 6, for anyone who is involved in the task of designing algorithms for modern string or sequence matching.’

Computing Reviews 2007 247 x 174 mm 232pp 90 b/w illus.

978-0-521-03993-2 Paperback £42.99 / US$59.99 For all formats available, see

www.cambridge.org/9780521039932

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www.cambridge.org/9780521847544

eBooks available at www.cambridge.org/ebookstore

22

Bioinformatics

Biological Sequence Analysis

Probabilistic Models of Proteins and Nucleic Acids

Richard Durbin The Sanger Centre, Cambridge

Sean R. Eddy Washington University, Missouri

Anders Krogh Technical University of Denmark, Lyngby

and Graeme Mitchison

Probabilistic methods are assuming greater significance in the analysis of nucleotide sequence data. This book provides the first unified, up-to-date and self-contained account of such methods, and more generally of probabilistic methods of sequence analysis, presented in a Bayesian framework.

‘This book fills an important gap in the bioinformatics literature and should be required reading for anyone who is interested in doing serious work in biological sequence analysis. For biologists who have little formal training in statistics or probability, it is a long-awaited contribution that, short of consulting a professional statistician who is well versed in molecular biology, is the best source of statistical information that is relevant to sequence-alignment problems. This book seems destined to become a classic. I highly recommend it.’

Andrew F. Neuwald, Trends in Biochemical Sciences ‘This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. It can also serve as a basis for a university course for undergraduates.’

Trends in Cell Biology 1998 247 x 174 mm 370pp 100 b/w illus. 50 tables 978-0-521-62971-3 Paperback £45.99 / US$62.99 For all formats available, see

www.cambridge.org/9780521629713

Phylogenetics Bayesian Evolutionary Analysis with BEAST Alexei J. Drummond and Remco R. Bouckaert University of Auckland

A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further.

‘Want to construct a phylogeny, add in calibrated time points or work out the past history of an epidemic? The open source package BEAST has established itself as the industry standard for all this and more. This definitive book, explaining what is under the hood, how the user can customize extensions, and, most critically, a simple ‘how to’ users guide, is necessary reading for beginners and specialists alike.’

Laurence D. Hurst, University of Bath ‘In concert with the dramatic improvements to DNA sequencing technology, Bayesian inference has revolutionized population genetics, phylogenetics, and divergence time estimation. A similar impact on epidemiology appears imminent via a suite of new Bayesian methods that incorporate host and pathogen DNA sequence data into established mathematical frameworks.

This book is an accessible and thorough introduction to these Bayesian procedures.

However, the book does far more than explain the theory. It also includes clear guides on how to use the BEAST 2 software for performing Bayesian analyses, and how to visualize the results. Because the software is designed to be extensible, the book instructs users to write their own code to supplement the diverse methods

23

that are already implemented in BEAST 2.

This book is timely and is written by two of the leaders of the field. I highly recommend it.’

Jeff Thorne, North Carolina State University

Contents: Part I. Theory; Part II. Practice; Part III. Programming.

2015 247 x 174 mm 260pp 21 b/w illus. 70 colour illus. 9 tables 978-1-107-01965-2 Hardback £40.99 / US$59.99 For all formats available, see

www.cambridge.org/9781107019652

Basic Phylogenetic Combinatorics Andreas Dress Universität Bielefeld, Germany

Katharina T. Huber University of East Anglia

Jacobus Koolen Pohang University of Science and Technology, Republic of Korea

Vincent Moulton University of East Anglia

and Andreas Spillner Ernst-Moritz-Arndt-Universität Greifswald, Germany

The biosciences are generating new research directions in mathematical sciences. This book presents a new combinatorial theory that forms the basis for understanding structures such as phylogenetic trees and networks. Results are presented in full detail, so the reader can quickly reach the forefront of this fascinating new area.

2011 228 x 152 mm 276pp 55 b/w illus.

978-0-521-76832-0 Hardback £35.99 / US$61.99 For all formats available, see

www.cambridge.org/9780521768320

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24

Phylogenetics

Phylogenetic Networks Concepts, Algorithms and Applications

Daniel H. Huson, Regula Rupp Eberhard-Karls-Universität Tübingen, Germany

and Celine Scornavacca Centre National de la Recherche Scientifique (CNRS), Paris

An alternative to describing evolutionary history using phylogenetic trees, phylogenetic networks are used to model and represent evolutionary history in the presence of reticulate events such as hybridization, horizontal gene transfer or recombination. This book addresses the biological background, the underlying mathematics, the computational algorithms and the software available.

‘Networks – rather than just trees – are fast becoming the essential tool for making sense of the complexities of evolution and conflicting signal[s] in genomic data. Phylogenetic Networks provides a long-overdue exposition of network-based methods, their possible uses and details on practical software.

A detailed and unified treatment of the many different types of networks is complemented by a crisp synopsis of the underlying theory. Numerous example[s] and illustrations make the text easy to follow. This book will further transform the way biologists use genomic data to study evolution. The Tübingen group has led the development of phylogenetic network algorithms, and this book delivers a clear exposition for biologists bewildered by a plethora of recent methods, as well as for bioinformaticians aiming to develop the field further. It is essential reading for any scientist or student seeking to understand how genomic data can be used to represent and study the intricate ‘web of life’.’

Mike Steel, University of Canterbury ‘This textbook, by one of the leaders of the field (Daniel H. Huson) and his co-authors, provides a mathematically rigorous introduction to one of the most exciting and beautiful research areas

in computational biology: phylogenetic networks. The text is clear and provides all the necessary biology background; it should be accessible to graduate students (or upper-division undergraduates) in mathematics, computer science or statistics.’

Tandy Warnow, University of Texas

Contents: Part I. Introduction; Part II. Theory; Part III. Algorithms and Applications.

2010 247 x 174 mm 376pp 189 b/w illus. 80 exercises 978-0-521-75596-2 Hardback £47.99 / US$80.99 For all formats available, see

www.cambridge.org/9780521755962

The Phylogenetic Handbook A Practical Approach to Phylogenetic Analysis and Hypothesis Testing

Second edition Edited by Philippe Lemey University of Oxford

Marco Salemi University of California, Irvine

and Anne-Mieke Vandamme Katholieke Universiteit Leuven, Belgium

With a stronger focus on hypothesis testing, elaborate practical sections and recent versions of sequence analysis and software, this edition includes six new chapters. Topics on Bayesian inference, tree topology testing and the impact of recombination on phylogenies have been added, as well as a detailed section on molecular adaptation.

Contents: Part I. Introduction; Part II. Data Preparation; Part III. Phylogenetic Inference; Part IV. Testing Models and Trees; Part V. Molecular Adaptation; Part VI. Recombination; Part VII. Population Genetics; Part VIII. Additional Topics.

2009 247 x 174 mm 750pp 57 b/w illus. 18 tables 978-0-521-73071-6 Paperback £46.99 / US$72.99 For all formats available, see

www.cambridge.org/9780521730716

Computational Neuroscience Computational Modeling of Cognition and Behavior Simon Farrell University of Western Australia, Perth

and Stephan Lewandowsky University of Bristol

This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

‘I shudder to think about the time I could have saved had this book been available earlier. This educational masterpiece presents classic insights, modern methods, concrete examples, and expert advice; it should be required reading for anybody who seeks to understand human cognition and behavior.’

Eric-Jan Wagenmakers, Universiteit van Amsterdam ‘This timely book is a must-read for every aspiring student of cognitive modeling. It provides a comprehensive and in-depth coverage of the conceptual and practical foundations of computational cognition, for the beginner and the experienced reader alike. The art of applying all major modeling frameworks, including Bayesian, frequentist, and neural networks, is explained in a most lucid and accessible manner.’

Jay Myung, Ohio State University

Neuronal Dynamics

From Single Neurons to Networks and Models of Cognition

Wulfram Gerstner École Polytechnique Fédérale de Lausanne

Werner M. Kistler Richard Naud University of Ottawa

and Liam Paninski Columbia University, New York

Exploring neuron models, the neural code, decision making and learning, this textbook provides a thorough and up-to-date introduction to computational neuroscience for advanced undergraduate and beginning graduate students. With step-by-step explanations, end-ofchapter summaries and classroom-tested exercises, it is ideal for courses or for self-study.

Contents: Part I. Foundations of Neuronal Dynamics; Part II. Generalized Integrate-andFire Neurons; Part III. Networks of Neurons and Population Activity; Part IV. Dynamics of Cognition.

2014 247 x 174 mm 590pp 280 b/w illus. 6 tables 80 exercises 978-1-107-06083-8 Hardback £80.99 / US$124.00 978-1-107-63519-7 Paperback £36.99 / US$49.99 For all formats available, see

www.cambridge.org/9781107060838

Contents: Part I. Introduction to Modeling; Part II. Parameter Estimation; Part III. Model Comparison; Part IV. Models in Psychology.

2018 247 x 174 mm 482pp 114 b/w illus. 15 tables 978-1-107-10999-5 Hardback £110.00 / US$140.00 978-1-107-52561-0 Paperback £39.99 / US$49.99 For all formats available, see

www.cambridge.org/9781107109995

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25

26

Computational Neuroscience

TEXTBOOK

Principles of Computational Modelling in Neuroscience David Sterratt University of Edinburgh

Bruce Graham University of Stirling

Andrew Gillies Psymetrix Limited, Edinburgh

and David Willshaw University of Edinburgh

This book is for neuroscientists at all levels and for people from the informational and physical sciences who want to develop computational models of the neuron and neural circuits. It presents the principles of computational neuroscience in a clear and coherent manner, and addresses practical issues that arise in modelling projects.

‘Here at last is a book that is aware of my problem, as an experimental neuroscientist, in understanding the maths … I expect it to be as mind expanding as my involvement with its authors was over the years. I only wish I had had the whole book sooner – then my students and post-docs would have been able to understand what I was trying to say and been able to derive the critical tests of the ideas that only the rigor of the mathematical formulation of them could have generated.’

Gordon W. Arbuthnott, Okinawa Institute of Science and Technology, Japan ‘This is a wonderful, clear and compelling text on mathematically-minded computational modelling in neuroscience. It is beautifully aimed at those engaged in capturing quantitatively, and thus simulating, complex neural phenomena at multiple spatial and temporal scales, from intracellular calcium dynamics and stochastic ion channels, through compartmental modelling, all the way to aspects of development. It takes particular care to define the processes, potential outputs and even some pitfalls of modelling, and can be recommended for containing the key lessons and pointers for people seeking to build their own computational models. By eschewing issues of coding and information processing, it largely hews to concrete biological data, and it nicely avoids sacrificing depth for breadth.

It is very suitably pitched as a master’s level text, and its two appendices, on mathematical methods and software resources, will rapidly become dog-eared.’

Peter Dayan, University College London 2011 246 x 189 mm 404pp 178 b/w illus. 7 tables 978-0-521-87795-4 Hardback £50.99 / US$86.99 For all formats available, see

www.cambridge.org/9780521877954

Algorithms TEXTBOOK

Probability and Computing Randomization and Probabilistic Techniques in Algorithms and Data Analysis

Second edition Michael Mitzenmacher Harvard University, Massachusetts

and Eli Upfal Brown University, Rhode Island

This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications. ‘‘Of all the courses I have taught at Berkeley, my favorite is the one based on the Mitzenmacher-Upfal book Probability and Computing. Students appreciate the clarity and crispness of the arguments and the relevance of the material to the study of algorithms. The new second edition adds much important material on continuous random variables, entropy, randomness and information, advanced data structures and topics of current interest related to machine learning and the analysis of large data sets.’

Richard M. Karp, University of California, Berkeley 2017 253 x 177 mm 484pp 8 b/w illus. 1 table 978-1-107-15488-9 Hardback £44.99 / US$69.99

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Compact Data Structures A Practical Approach

Gonzalo Navarro Universidad de Chile

Compact data structures are essential tools for efficiently handling massive amounts of data by exploiting the memory hierarchy and for reducing the resources needed for distributed and mobile applications. This first comprehensive book on the topic focuses on the structures that are most relevant for practical use.

‘This is a delightful book on data structures that are both time and space efficient. It will be a key reference and guiding light in the field for years to come.’

J. Ian Munro, University of Waterloo, Ontario, from the Foreword ‘The explanations are clear and accessible, the content substantial and the information level high, the illustrations appropriate and informative, and the subject matter timely and increasingly relevant. This text will provide a good foundation in theory and practical issues, and should be a useful introduction to the field for students, researchers, and developers desiring a solid foundational text.’

R. M. Malyankar, Computing Reviews 2016 253 x 177 mm 570pp 140 b/w illus.

978-1-107-15238-0 Hardback £57.99 / US$89.99 For all formats available, see

www.cambridge.org/9781107152380

For all formats available, see

www.cambridge.org/9781107154889

Analytic Pattern Matching From DNA to Twitter

Philippe Jacquet

Wojciech Szpankowski

Bell Laboratories, New Jersey

Purdue University, Indiana

How do you distinguish a cat from a dog by their DNA? Pattern matching problems like these play a key role in areas such as computer science, telecommunications and molecular biology. In this graduate-level book the authors present a unique probabilistic approach using analytic combinatorics and analytic information theory.

Contents: Part I. Analysis; Part II. Applications.

2015 247 x 174 mm 385pp 40 b/w illus. 110 exercises 978-0-521-87608-7 Hardback £49.99 / US$77.99 For all formats available, see www.cambridge.org/9780521876087

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Knowledge Management & Data Mining Mining of Massive Datasets Second edition Jure Leskovec

TEXTBOOK

Data Mining and Analysis

Stanford University, California

Fundamental Concepts and Algorithms

Anand Rajaraman

Mohammed J. Zaki

Milliways Laboratories, California

and Jeffrey David Ullman Stanford University, California

Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond.

This second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction.

2014 247 x 174 mm 476pp 150 b/w illus. 210 exercises 978-1-107-07723-2 Hardback £52.00 / US$75.99 For all formats available, see

www.cambridge.org/9781107077232

Rensselaer Polytechnic Institute, New York

and Wagner Meira, Jr Universidade Federal de Minas Gerais, Brazil

The fundamental algorithms in data mining and analysis are the basis for business intelligence and analytics, automated methods to analyze patterns, and models of data. This textbook for senior undergraduate and graduate data mining courses provides a comprehensive overview from an algorithmic perspective, integrating concepts from machine learning and statistics.

Contents: Part I. Data Analysis Foundations; Part II. Frequent Pattern Mining; Part III. Clustering; Part IV. Classification.

2014 253 x 177 mm 562pp 186 b/w illus. 85 tables 130 exercises 978-0-521-76633-3 Hardback £49.99 / US$69.99 For all formats available, see

www.cambridge.org/9780521766333

Pattern Recognition & Machine Learning 29 TEXTBOOK

Machine Learning Refined Foundations, Algorithms, and Applications

Jeremy Watt, Reza Borhani and Aggelos K. Katsaggelos Northwestern University, Illinois

This book provides a fresh, intuitive approach to machine learning, detailing the fundamental concepts necessary for building projects and conducting research. With colour illustrations, practical real-world examples, and MATLAB-based exercises, it is an essential resource for students and an ideal reference for researchers and practitioners in the field.

Vector Machines and Variants; Part VI. Kernel Methods for Green Machine Learning Technologies; Part VII. Kernel Methods and Statistical Estimation Theory; Part VIII. Appendices.

2014 247 x 174 mm 572pp 136 b/w illus. 21 tables 978-1-107-02496-0 Hardback £69.99 / US$89.99 For all formats available, see

www.cambridge.org/9781107024960

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods Nello Cristianini

Contents: Part I. The Basics; Part II. Automatic Feature Design; Part III. Tools for Large Scale Data; Part IV. Appendices.

University of Bristol

2016 247 x 174 mm 298pp 135 colour illus. 3 tables 81 exercises 978-1-107-12352-6 Hardback £57.99 / US$74.99

Support vector machines are now established as one of the standard tools for machine learning and data mining.

Students will find this introduction both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications.

For all formats available, see

www.cambridge.org/9781107123526

Kernel Methods and Machine Learning S. Y. Kung Princeton University, New Jersey

Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernelbased learning theory. Including over two hundered problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Contents: Part I. Machine Learning and Kernel Vector Spaces; Part II. DimensionReduction; Part III. Unsupervised Learning Models for Cluster Analysis; Part IV. Kernel Ridge Regressors and Variants; Part V. Support

and John Shawe-Taylor Royal Holloway, University of London

‘… the most accessible introduction to the area I have yet seen.’

D. J. Hand, Publication of the International Statistical Institute ‘The book is an admirable presentation of this powerful new approach to pattern classification.’

Alex M. Andrew, Robotica 2000 247 x 174 mm 204pp 12 b/w illus. 5 colour illus. 25 exercises 978-0-521-78019-3 Hardback £64.99 / US$89.99 For all formats available, see

www.cambridge.org/9780521780193

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Statistics and Mathematical Modelling Modern Statistics for Modern Biology

subfields and ‘black box’ settings, with computed examples.

Susan Holmes

‘Prediction, one of the most important practical applications of statistical analysis, has rarely been treated as anything more than an afterthought in most formal treatments of statistical inference. This important book aims to counter this neglect by a wholehearted emphasis on prediction as the primary purpose of the analysis. The authors cut a broad swathe through the statistical landscape, conducting thorough analyses of numerous traditional, recent, and novel techniques, to show how these are illuminated by taking the predictive perspective.’

Philip Dawid, University of Cambridge

Stanford University, California

and Wolfgang Huber European Molecular Biology Laboratory; European Bioinformatics Institute

Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from wellchosen examples, hands-on simulation, and visualization.

2018 253 x 203 mm 400pp 978-1-108-42702-9 Hardback c. £45.00 / c. US$75.00 Publication October 2018 For all formats available, see

www.cambridge.org/9781108427029

Predictive Statistics

Analysis and Inference beyond Models

Bertrand S. Clarke and Jennifer L. Clarke University of Nebraska, Lincoln

Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional

‘The prime focus in statistics has always been on modeling rather than prediction; as a result, different prediction methods have arisen within different subfields of statistics, and a general, allencompassing account has been lacking.

For the first time, this book provides such an account and, as such, it convincingly argues for the primacy of prediction. The authors consider a wide range of topics from a predictive point of view and I am impressed by both the breadth and depth of the topics addressed and by the unifying story the authors manage to tell.’

Peter Grünwald, Centrum Wiskunde & Informatica and Universiteit Leiden

Contents: Part I. The Predictive View; Part II. Established Settings for Prediction; Part III. Contemporary Prediction.

Cambridge Series in Statistical and Probabilistic Mathematics, 46

2018 253 x 177 mm 656pp 978-1-107-02828-9 Hardback £64.99 / US$84.99 For all formats available, see

www.cambridge.org/9781107028289

Statistics and Mathematical Modelling

Introduction to Hidden Semi-Markov Models John van der Hoek University of South Australia

and Robert J. Elliott University of Calgary

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction to the subject, developing the theory of Markov and semi-Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates.

London Mathematical Society Lecture Note Series, 445

2018 228 x 152 mm 184pp 978-1-108-44198-8 Paperback £49.99 / US$64.99 For all formats available, see

www.cambridge.org/9781108441988 TEXTBOOK

Experimental Design for Laboratory Biologists Maximising Information and Improving Reproducibility

Stanley E. Lazic AstraZeneca, Cambridge

An ideal resource for anyone conducting lab-based biomedical research, this guide shows how to design reproducible experiments that have low bias, high precision and widely applicable results.

It explores key ideas in experimental design, including reproducibility and replication, assesses common designs, and shows how to plan for success.

31

to design experiments to ensure reproducible research, with many examples illustrating general principles that need to be understood to avoid error and bias. The coverage of statistical analysis follows on naturally from the design issues, and is amply illustrated with exercises in R. Highly recommended.’

Dorothy Bishop, University of Oxford ‘Worldwide there is a salient discussion about deficiencies in the validity and predictiveness of research in the life sciences. Indeed, a fullblown ‘reproducibility crisis’ has been proclaimed. Against this backdrop this important textbook is a timely and highly useful contribution in the pressing quest to improve the robustness, rigour and reproducibility of current biological and preclinical research. Proper experimental design is the bedrock for obtaining reliable evidence. By providing the necessary conceptual know-how and practical knowledge, [this book] enables investigators in all stages of their careers to minimise bias and improve statistical power through proper design and analysis of their experiments. This volume is unique … [as] it is immensely readable and accessible even for those with little previous knowledge, combining all relevant aspects in a practical, concise and comprehensive manner, and in its clear focus on factors that help to improve the quality of research.’

Ulrich Dirnagl, Charité University Hospital, Germany 2016 246 x 189 mm 229pp 124 b/w illus.

978-1-107-07429-3 Hardback £101.99 / US$177.00 978-1-107-42488-3 Paperback £40.99 / US$65.99 For all formats available, see

www.cambridge.org/9781107074293

‘This is a wonderfully lucid introduction to experimental design, written by an author who is clearly aware of the pitfalls that exist for the unwary experimenter. The focus is on how

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32

Statistics and Mathematical Modelling

A First Course in Statistical Programming with R Second edition W. John Braun University of British Columbia, Okanagan

and Duncan J. Murdoch University of Western Ontario

A new edition of a bestselling text, this book provides a first course in programming for a broad range of students who need to work with data. Based on the open-source R statistical package, it introduces statistical graphics and numerical computing ideas such as simulation, optimization, and computational linear algebra.

‘For what has come to be called data analytics, R is a remarkable tour de force. Strong skills with R programming are needed to allow really effective use. Mastering the content of this carefully staged text is an excellent starting point for gaining those skills.’

John Maindonald, Australian National University, Canberra ‘This book should be especially useful for those without any prior programming background. The core programming material, such as loops and functions, is postponed to chapter 4, allowing the student to first become comfortable with R in a broader manner. The placement of chapter 3, on graphical methods, is particularly helpful in this regard, and is very motivating. The book is written by two recognized experts in the R language, so the reader attains the benefit of being taught by the ‘insiders’.’

Norm Matloff, University of California, Davis 2016 246 x 189 mm 230pp 40 b/w illus. 5 colour illus. 200 exercises 978-1-107-57646-9 Paperback £34.99 / US$44.99 For all formats available, see

www.cambridge.org/9781107576469

Statistics and Mathematical Modelling

33

HIGHLIGHT

Causal Inference for Statistics, Social, and Biomedical Sciences An Introduction

Guido W. Imbens Stanford University, California

and Donald B. Rubin Harvard University, Massachusetts

In this groundbreaking text, two world-renowned experts present statistical methods for studying causal effects: how can we learn about the expected effect of an intervention or a change in environment? The authors discuss how we can assess such effects in simple randomized experiments, where the researcher controls the treatments, and in observational studies, where the subjects themselves may affect which treatment they receive.

‘This book offers a definitive treatment of causality using the potential outcomes approach. Both theoreticians and applied researchers will find this an indispensable volume for guidance and reference.’

Hal Varian, Chief Economist, Google, and Emeritus Professor, University of California, Berkeley ‘By putting the potential outcome framework at the center of our understanding of causality, Imbens and Rubin have ushered in a fundamental transformation of empirical work in economics. This book, at once transparent and deep, will be both a fantastic introduction to fundamental principles and a practical resource for students and practitioners. It will be required reading for any class I teach.’

Esther Duflo, Massachusetts Institute of Technology

Contents: Part I. Introduction; Part II. Classical Randomized Experiments; Part III. Regular Assignment Mechanisms: Design; Part IV. Regular Assignment Mechanisms: Analysis; Part V. Regular Assignment Mechanisms: Supplementary Analyses; Part VI. Regular Assignment Mechanisms with Noncompliance: Analysis; Part VII. Conclusion.

PROSE Award for Textbook, Social Sciences 2016 – Winner 2015 253 x 177 mm 644pp 18 b/w illus. 97 tables 978-0-521-88588-1 Hardback £42.99 / US$62.00 For all formats available, see

www.cambridge.org/9780521885881

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34

Statistical and Mathematical Modelling

NEW IN PAPERBACK

Large-Scale Inference

Empirical Bayes Methods for Estimation, Testing, and Prediction

Bradley Efron Stanford University, California

Modern scientific technology (such as microarrays and fMRI machines) produces data in vast quantities. Bradley Efron explains the empirical Bayes methods that help make sense of a new statistical world. This is essential reading for professional statisticians and graduate students wishing to use and understand important new techniques like false discovery rates.

‘In the last decade, Efron has played a leading role in laying down the foundations of large-scale inference, not only in bringing back and developing old ideas, but also linking them with more recent developments, including the theory of false discovery rates and Bayes methods. We are indebted to him for this timely, readable, and highly informative monograph, a book he is uniquely qualified to write. It is a synthesis of many of Efron’s own contributions over the last decade with that of closely related material, together with some connecting theory, valuable comments, and challenges for the future. His avowed aim is ‘not to have the last word’ but to help us ‘deal with the burgeoning statistical problems of the twenty-first century’. He has succeeded admirably.’

Terry Speed, International Statistical Review Institute of Mathematical Statistics Monographs, 1

2012 228 x 152 mm 276pp 65 b/w illus. 10 colour illus. 105 exercises 978-1-107-61967-8 Paperback £34.99 / US$44.99 For all formats available, see

www.cambridge.org/9781107619678

Cambridge Series in Statistical and Probabilistic Mathematics Cambridge Series in Statistical and Probabilistic Mathematics Series Editors: R. Gill

S. Ross

M. Stein

Universiteit Leiden

University of Southern California

University of Chicago

B. D. Ripley

Z. Ghahramani

and F. P. Kelly

University of Oxford

University of Cambridge

University of Cambridge

This series of high quality upper-division textbooks and expository monographs covers all areas of stochastic applicable mathematics. The topics range from pure and applied statistics to probability theory, operations research, mathematical programming, and optimisation. The books contain clear presentations of new developments in the field and also of the state of the art in classical methods. While emphasising rigorous treatment of theoretical methods, the books also contain applications and discussions of new techniques made possible by advances in computational practice.

Fundamentals of Nonparametric Bayesian Inference Subhashis Ghosal North Carolina State University

and Aad van der Vaart Universiteit Leiden

Written by top researchers, this selfcontained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics.

Appendices with prerequisites and numerous exercises support its use for graduate courses.

‘Probabilistic inference of massive and complex data has received much attention in statistics and machine learning, and Bayesian nonparametrics is one of the core tools. Fundamentals of Nonparametric Bayesian Inference is the first book to comprehensively cover models, methods, and theories of Bayesian

nonparametrics. Readers can learn basic ideas and intuitions as well as rigorous treatments of underlying theories and computations from this wonderful book.’

Yongdai Kim, Seoul National University ‘Bayesian nonparametrics has seen amazing theoretical, methodological, and computational developments in recent years. This timely book gives an authoritative account of the current state of the art by two leading scholars in the field. They masterfully cover all major aspects of the discipline, with an emphasis on asymptotics, and achieve the rare feat of being simultaneously broad and deep, while preserving the utmost mathematical rigor. This book is, without doubt, a mustread for Ph.D. students and researchers in statistics and probability.’

Igor Prünster, Università Commerciale Luigi Bocconi, Milan Cambridge Series in Statistical and Probabilistic Mathematics, 44

2017 253 x 177 mm 670pp 15 b/w illus.

978-0-521-87826-5 Hardback £64.99 / US$89.99 For all formats available, see

www.cambridge.org/9780521878265

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36

Cambridge Series in Statistical and Probabilistic Mathematics

Probability on Trees and Networks

Random Graphs and Complex Networks

Russell Lyons

Volume 1 Remco van der Hofstad

Indiana University, Bloomington

and Yuval Peres Microsoft Research, Washington

Technische Universiteit Eindhoven, The Netherlands

This authoritative state-of-the-art account of probability on networks for graduate students and researchers in mathematics, statistics, computer science, and engineering, brings together sixty years of research, including many developments where the authors played a leading role. The text emphasizes intuition, while also giving complete proofs.

Network science is one of the fastest growing areas in science and business.

This classroom-tested, self-contained book is designed for master’s-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience.

‘This long-awaited work focuses on one of the most interesting and important parts of probability theory. Half a century ago, most work on models such as random walks, Ising, percolation, and interacting particle systems concentrated on processes defined on the d-dimensional Euclidean lattice. In the intervening years, interest has broadened dramatically to include processes on more general graphs, with trees being a particularly important case. This led to new problems and richer behavior, and as a result, to the development of new techniques. The authors are two of the major developers of this area; their expertise is evident throughout.’

Thomas M. Liggett, University of California, Los Angeles

‘… a modern and deep, yet accessible, introduction to the models that make up [the] basis for the theoretical study of random graphs and complex networks.

The book strikes a balance between providing broad perspective and analytic rigor that is a pleasure for the reader.’

Adam Wierman, California Institute of Technology

‘Masterly, beautiful, encyclopaedic, and yet browsable – this great achievement is obligatory reading for anyone working near the conjunction of probability and network theory.’

Geoffrey Grimmett, University of Cambridge Cambridge Series in Statistical and Probabilistic Mathematics, 42

2017 253 x 177 mm 720pp 78 b/w illus. 13 colour illus. 4 tables 864 exercises 978-1-107-16015-6 Hardback £49.99 / US$79.99 For all formats available, see

www.cambridge.org/9781107160156

‘This text builds a bridge between the mathematical world of random graphs and the real world of complex networks.

It combines techniques from probability theory and combinatorics to analyze the structural properties of large random graphs. Accessible to network researchers from different disciplines, as well as masters and graduate students, the material is suitable for a one-semester course, and is laced with exercises that help the reader grasp the content. The exposition focuses on a number of core models that have driven recent progress in the field, including the Erdős–Rényi random graph, the configuration model, and preferential attachment models. A detailed description is given of all their key properties. This is supplemented with insightful remarks about properties of related models so that a full panorama unfolds. As the presentation develops,

Cambridge Series in Statistical and Probabilistic Mathematics

the link to complex networks provides constant motivation for the routes that are being chosen.’

Frank den Hollander, Universiteit Leiden, The Netherlands

the foundations of inference and in a wide range of practical applications of inference.’

Nancy Reid, University Professor of Statistical Sciences, University of Toronto

Contents: Part I. Preliminaries; Part II. Basic Models; Part III. Models for Complex Networks.

‘I recommend this book very enthusiastically to any researcher interested in learning more about advanced likelihood theory, based on concepts like confidence distributions and fiducial distributions, and their links with other areas. The book explains in a very didactical way the concepts, their use, their interpretation, etc., illustrated by an impressive number of examples and data sets from a wide range of areas in statistics.’

Ingrid Van Keilegom, Université Catholique de Louvain, Belgium

Cambridge Series in Statistical and Probabilistic Mathematics, 43

2016 253 x 177 mm 236pp 58 b/w illus. 5 tables 978-1-107-17287-6 Hardback £44.99 / US$59.99 For all formats available, see

www.cambridge.org/9781107172876

Confidence, Likelihood, Probability

Statistical Inference with Confidence Distributions

Tore Schweder Universitetet i Oslo

and Nils Lid Hjort Universitetet i Oslo

37

Cambridge Series in Statistical and Probabilistic Mathematics, 41

2016 253 x 177 mm 511pp 147 b/w illus. 17 tables 100 exercises 978-0-521-86160-1 Hardback £64.99 / US$84.99 For all formats available, see

www.cambridge.org/9780521861601

The baby without the bathwater? This lively book lays out a methodology of confidence distributions and puts them through their paces with a generous mixture of theory, illustrations, applications and exercises – suitable for statisticians at all levels of experience, as well as for data-oriented scientists.

The methodology yields posterior distributions for parameters, but without the Bayesian ingredients.

‘This book presents a detailed and wide-ranging account of an approach to inference that moves the discipline towards increased cohesion, avoiding the artificial distinction between testing and estimation. Innovative and thorough, it is sure to have an impact both in

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38

Cambridge Series in Statistical and Probabilistic Mathematics

Analysis of Multivariate and High-Dimensional Data Inge Koch University of Adelaide

‘Big data’ poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis.

Problems, data sets and MATLAB® code complete the package. It is suitable for master’s and graduate students in statistics and working scientists in datarich disciplines. ‘… this book is suitable for readers with various backgrounds and interests, and can be read at different levels. … [It] will also be useful for working statisticians who are interested in analysis of multivariate or high-dimensional data.’

Yasunori Fujikoshi, Mathematical Reviews ‘A major advantage and important feature of this book is that it illustrates the interconnection of various techniques, such as the connection between discriminant analysis and principal component analysis, cluster analysis and principal component analysis, and factor analysis and cluster analysis. The author has undoubtedly taken on an appreciable task of collecting, compiling, connecting and presenting classical as well as recent developments concisely … Readers are expected to have an adequate background in statistics to understand the topics … This well-designed book is suitable for advanced multivariate courses where the emphasis is more on applications. Applicationorientated researchers will also find this book useful. Problems for each chapter are given at the end of each section. Graphics are used at various places to facilitate the understanding of topics. The book is highly recommended for libraries.’

Journal of the Royal Statistical Society

Contents: Part I. Classical Methods; Part II. Factors and Groupings; Part III. NonGaussian Analysis.

Cambridge Series in Statistical and Probabilistic Mathematics, 32

2014 253 x 177 mm 526pp 5 b/w illus. 98 colour illus. 76 tables 138 exercises 978-0-521-88793-9 Hardback £54.00 / US$76.00 For all formats available, see

www.cambridge.org/9780521887939

Also of Interest TEXTBOOK

Wilson and Walker’s Principles and Techniques of Biochemistry and Molecular Biology Eighth edition Edited by Andreas Hofmann Griffith University, Queensland

and Samuel Clokie Birmingham Women’s and Children’s Hospital

This best-selling undergraduate textbook introduces the key experimental techniques from across the biosciences.

It uniquely integrates the theories and methods driving the fields of biology and medicine, comprehensively covering both the techniques that students will encounter in lab classes and those that underpin recent advances and discoveries.

‘After seven editions between 1975 and 2010 this essential textbook has undergone a major update. The new editors, Drs Hofmann and Clokie, recruited many experts to revise individual chapters and added a significant amount of new material, thus making the book even more valuable.

This eighth edition is basically a new book that covers the techniques of biochemistry and molecular biology in a very comprehensive manner – it does not go into great detail, but gives the reader a good introduction to all of them. Each chapter contains suggestions for further reading for those in need of a followup. Excellent diagrams and illustrations provide help in comprehension of the presented material. Since this text is largely aimed at undergraduate students, it fulfils its role extremely well.’

Alexander Wlodawer, National Cancer Institute at Frederick, Maryland

39 Review from previous edition: ‘This book deserves a place in any modern pathology department and brings together a body of information which is traditionally scattered across several texts … it also represents excellent value for money.’

Annals of Clinical Biochemistry 2018 247 x 174 mm 956pp 374 colour illus.

978-1-107-16227-3 Hardback £115.00 / US$150.00 978-1-316-61476-1 Paperback £39.99 / US$51.99 For all formats available, see

www.cambridge.org/9781107162273

Managing Discovery in the Life Sciences

Harnessing Creativity to Drive Biomedical Innovation

Philip A. Rea, Mark V. Pauly and Lawton R. Burns University of Pennsylvania

Key to biomedical innovation is scientific discovery and its translation into marketable products. This book addresses the link between life sciences discoveries and their dependence on the investor-driven market system through in-depth considerations of the challenges that both scientists and managers must face in the pharmaceutical and medical device industries.

‘The authors capture the magic of the biomedical industry from the inception of an idea through translational studies that lead to a product that can transform lives. Case studies illustrate the importance of scientific understanding, long periods of experimentation, and

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40

Also of Interest

willingness to take risks. This book is a ‘must read’ for anyone who wants to better understand drug discovery.’

P. Roy Vagelos, Chairman, Regeneron Pharmaceuticals, Inc., New York ‘This new study by Philip A. Rea, Mark V. Pauly, and Lawton R. Burns provides useful information and insightful analyses of the biomedical innovation process.’

Henry Grabowski, Professor Emeritus of Economics, Duke University, North Carolina 2018 228 x 152 mm 554pp 5 b/w illus. 39 colour illus. 3 tables 978-1-107-13090-6 Hardback £76.99 / US$105.00 978-1-107-57730-5 Paperback £29.99 / US$39.99 For all formats available, see

www.cambridge.org/9781107130906 TEXTBOOK

The Cell as a Machine Michael Sheetz Columbia University, New York

and Hanry Yu National University of Singapore

Connecting underlying theory with real-world applications, this systematic and mathematically accessible textbook explains cell functions using the engineering principles of robust devices. It is ideal for undergraduate and graduate students taking singlesemester courses in cell mechanics, biophysics and cell biology.

Contents: Part I. Principle of Complex Function in Robust Machines; Part II. Design and Operation of Complex Functions; Part III. Coordination of Complex Functions.

Cambridge Texts in Biomedical Engineering

2018 246 x 189 mm 434pp 2 b/w illus. 136 colour illus.

978-1-107-05273-4 Hardback £69.99 / US$89.99 For all formats available, see

www.cambridge.org/9781107052734

Animal Ethics in Animal Research Helena Röcklinsberg Swedish University of Agricultural Sciences

Mickey Gjerris University of Copenhagen

and I. Anna S. Olsson Instituto de Biologia Molecular E Celular, Porto

Aimed at those involved in animal research and on animal ethics committees, this book provides an overview of ethical issues related to the use of animals in research. It focuses on good scientific practice, the 3Rs, ethical theories applied to specific cases and an overview of regulatory issues.

2017 228 x 152 mm 198pp 8 b/w illus. 9 tables 978-1-108-42061-7 Hardback £74.99 / US$94.99 978-1-108-43068-5 Paperback £29.99 / US$39.99 For all formats available, see

www.cambridge.org/9781108420617

Also of Interest

TEXTBOOK

Methods in Molecular Biophysics

Structure, Dynamics, Function for Biology and Medicine

Second edition Nathan R. Zaccai University of Cambridge

Igor N. Serdyuk Formerly of the Institute of Protein Research, Pushchino, Moscow Region

and Joseph Zaccai Institut Laue-Langevin, Grenoble

Reflecting the significant developments of the past decade, this textbook explains key physical methods in modern biology. Each method is illustrated through real-world examples, alongside background information designed for both physicists and biologists, making this an ideal resource for students in biophysics at science and medical schools.

Review of first edition: ‘… a valuable contribution to the field. … There is nothing quite like it at the moment.’

Sir Tom Blundell FRS, University of Cambridge Review of first edition: … one of the most comprehensive and highly relevant texts on biophysics that I have encountered in the last ten years, clearly written and up to date … a musthave for biophysicists working in all lines of research …’

Nikolaus Grigorieff, Brandeis University, Massachusetts

41

Contents: Part I. Biological Macromolecules and Physical Tools; Part II. Mass Spectrometry; Part III. Thermodynamics; Part IV. Hydrodynamics; Part V. Optical Spectroscopy; Part VI. Optical Microscopy; Part VII. X-Ray and Neutron Diffraction; Part VIII. Electron Diffraction; Part IX. Molecular Dynamics; Part X. Nuclear Magnetic Resonance; Part XI. Medical Imaging.

2017 276 x 219 mm 702pp 825 b/w illus.

978-1-107-05637-4 Hardback £54.99 / US$69.99 For all formats available, see

www.cambridge.org/9781107056374

Optogenetics

From Neuronal Function to Mapping and Disease Biology

Edited by Krishnarao Appasani GeneExpression Systems, Inc., Massachusetts

Optogenetics – a revolutionary technique combining genetic and optical methods to observe and control the function of neurons – has huge potential, with applications from brain circuits and sleep to neurodegenerative and neuropsychiatric diseases. This book is a reference for researchers and graduate students, as well as for those working in the biotechnology and pharmaceutical industries.

‘Optogenetics has transformed neuroscience and has become a key element of the toolkit used by thousands of labs worldwide. If anyone needs convincing that the field of optogenetics has come of age, this book provides compelling evidence. Written by leading experts in the field and covering the gamut of optogenetics research from tool development and use in basic research through to translational applications, Optogenetics exemplifies how this technique now illuminates all areas of neuroscience research.’

Michael Hausser, University College London

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Also of Interest

‘’Let there be light.’ Or more precisely, deliver the needed wavelength at appropriate power, with high temporal and spatial resolution, if you want to figure out how brain circuits work. This volume has many excellent chapters and the right toolbox for the job.’

György Buzsáki, Neuroscience Institute and Langone Medical Center, New York University

Contents: Part I. Optogenetics in Model Organisms; Part II. Opsin Biology, Tools and Technology Platform; Part III. Optogenetics in Neurobiology, Brain Circuits and Plasticity; Part IV. Optogenetics in Learning, Neuropsychiatric Diseases and Behavior; Part V. Optogenetics in Vision Restoration and Memory; Part VI. Optogenetics in Sleep, Prosthetics and Epigenetics of Neurodegenerative Diseases.

2017 247 x 174 mm 502pp 65 b/w illus. 37 colour illus. 6 tables 978-1-107-05301-4 Hardback £125.00 / US$175.00 For all formats available, see

www.cambridge.org/9781107053014

Aaron Klug – A Long Way from Durban A Biography

Kenneth C. Holmes Max-Planck-Institut für Medizinische Forschung, Heidelberg

A Nobel prize winner and pioneer of structural molecular biology, Aaron Klug served as Director of the Laboratory of Molecular Biology and President of the Royal Society. Holmes draws on their long-term collaboration, interviews and unique access to Klug’s archives to illuminate both his personal life and significant scientific achievements.

‘This biography highlights both the sense in which Klug was self-made and driven, and the importance of his collaborations, mentors, peers and his own students

in shaping the man he became and his intellectual achievements. The biography also offers a fascinating insight into macromolecular scientific discovery while keeping a very human touch throughout.

A fitting tribute to a great scientist and role model.’

Max Price, University of Cape Town ‘Kenneth C. Holmes’ lively biography of Aaron Klug narrates the fascinating story of a man who had a central role in the transformation of modern biology into a molecular science. Holmes embeds Klug’s scientific innovations in the wider context of mid-to-late twentiethcentury intellectual and social history; his descriptions of the left-wing Zionism of Klug’s youth in South Africa and of the machinations of reactionary dons in Peterhouse, Cambridge, have the same absorbing clarity as his explanations of how Klug and his co-workers created a science of quantitative image analysis in electron microscopy. At once a vade mecum to structural biology and a document of the postwar academic scene in Britain, this book is also quite simply a very good read.’

Stephen Harrison, Harvard University, Massachusetts

Contents: Part I. From Durban to Birkbeck College; Part II. Science at the Laboratory of Molecular Biology; Part III. Duties and Rewards.

2017 228 x 152 mm 378pp 60 b/w illus. 13 colour illus.

978-1-107-14737-9 Hardback £29.99 / US$44.99 For all formats available, see

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Also of Interest

The Emergence of Life

NEW IN PAPERBACK

From Chemical Origins to Synthetic Biology

The Systems View of Life

Second edition Pier Luigi Luisi

Fritjof Capra

Università degli Studi Roma Tre

Addressing the origins of biological and synthetic life from a systems biology perspective, this new edition has undergone an extensive revision and includes greater coverage of synthetic biology. Unique to this edition are discussions with contemporaries in the field, demonstrating an evolution of thought on the question ‘what is life?’.

‘It is ten years since Professor Luisi’s classic book The Emergence of Life first appeared. It is highly welcome therefore that this second edition will explain many of the important advances that have occurred in the last decade. With his profound systems approach, Professor Luisi is better placed than anyone to do this. He also includes valuable interviews with other leading systems scientists.

Highly recommended for those working in and interested in this growing field.’

Denis Noble, University of Oxford

Contents: Part I. Approaches to the Origin of Life; Part II. What Is Life? The Bio-Logics of Cellular Life; Part III. Order and Organization in Biological Systems; Part IV. The World of Vesicles; Part V. Towards the Synthetic Biology of Minimal Cells.

2016 247 x 174 mm 478pp 166 b/w illus. 12 tables 978-1-107-09239-6 Hardback £46.99 / US$78.99 For all formats available, see

www.cambridge.org/9781107092396

43

A Unifying Vision

Lawrence Berkeley National Laboratory, California

and Pier Luigi Luisi Università degli Studi Roma Tre

Taking a broad sweep through history and across scientific disciplines, this volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework.

Life’s biological, cognitive, social, and ecological dimensions are presented and its philosophical, spiritual, and political implications discussed.

‘Partly an enjoyable survey of exciting new developments in systems biology, valuable to any student of biology or science, and partly a bold blueprint for how we might preserve our future on Earth.’

New Scientist ‘A magisterial study of the scientific basis for an integrated worldview grounded in the wholeness that generations of one-eyed reductionists could not see. The authors succeed brilliantly!’

David W. Orr, Oberlin College, Ohio

Contents: Part I. The Mechanistic World View; Part II. The Rise of Systems Thinking; Part III. A New Conception of Life; Part IV. Sustaining the Web of Life.

2016 247 x 174 mm 510pp 81 b/w illus.

978-1-316-61643-7 Paperback £19.99 / US$25.99 Also available 978-1-107-01136-6 Hardback £28.99 / US$45.99 For all formats available, see

www.cambridge.org/9781316616437

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Also of Interest

The Once and Future Turing Computing the World

Edited by S. Barry Cooper University of Leeds

and Andrew Hodges University of Oxford

Alan Turing made a seminal contribution to various fields. Here, original essays bring new thinking to a range of Turing’s ideas and demonstrate their relevance to modern research. It will provoke and engross the reader interested in the lasting significance of one of the twentieth century’s deepest thinkers.

‘The fifteen highly readable essays gathered here, each worth a review, celebrate Turing’s centenary by exploring current developments and philosophical ramifications descending from many sides of Turing’s work, not just his famous theory of computation and his code-breaking exploits but also his interests in logic, artificial intelligence, morphogenesis, pattern formation, the Riemann hypothesis, etc. … Summing up: recommended. All readers.’

D. V. Feldman, CHOICE ‘The book under review is a collection of fifteen papers written by outstanding scientists. It gives a look at the range of A. M. Turing’s contributions and shows how the subjects have been developed since his time and how they might develop still further. The papers are divided into five groups. … Papers collected in this volume will be interesting to all readers who wish to understand better the lasting significance of Alan Turing and his ideas.’

Roman Murawski, Mathematical Reviews

Contents: Part I. Inside our Computable World, and the Mathematics of Universality; Part II. The Computation of Processes, and Not Computing the Brain; Part III. The Reverse Engineering Road to Computing Life; Part IV. Biology, Mind, and the Outer Reaches of Quantum Computation; Part V. Oracles, Infinitary Computation, and the Physics of the Mind.

2016 247 x 174 mm 395pp 49 colour illus. 4 tables 978-1-107-01083-3 Hardback £19.99 / US$31.99 For all formats available, see

www.cambridge.org/9781107010833

Also of Interest

Truth or Truthiness

TEXTBOOK

Howard Wainer

Structural DNA Nanotechnology

National Board of Medical Examiners, Philadelphia, Pennsylvania

Nadrian C. Seeman New York University

Escaping the clutches of truthiness begins with one simple question: what is the evidence? Howard Wainer shows how the sceptical mindset of a data scientist can expose truthiness, nonsense, and outright deception. He evaluates the evidence, or lack thereof, supporting claims in many fields, with special emphasis in education.

The definitive introduction to structural DNA nanotechnology, written by the founder of the field. Clearly written and with full colour illustrations throughout, this is an accessible, essential resource for advanced undergraduate and graduate students as well as researchers in nanotechnology, materials science, physics, biology, chemistry, computational science and engineering.

Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist

‘This book is like the proverbial bag of potato chips. It’s impossible to stop reading after just one of its fun and thoughtprovoking examples of statistical reasoning.’

Andrew Gelman, Columbia University, New York ‘Howard Wainer persuasively argues that you cannot be an informed citizen unless you understand the new data science. Using examples and anecdotes from education, medicine, and elsewhere, he arms readers with tools they can use to make better decisions and a better world. And he does it with the ease, charm, and brilliance of the originator of truthiness.’

Arthur E. Wise, President Emeritus, National Council for the Accreditation of Teacher Education

Contents: Part I. Thinking Like a Data Scientist; Part II. Communicating Like a Data Scientist; Part III. Applying the Tools of Data Science to Education.

2016 228 x 152 mm 232pp 52 b/w illus. 9 colour illus. 12 tables 978-1-107-13057-9 Hardback £19.99 / US$30.95 For all formats available, see

www.cambridge.org/9781107130579

‘The first of its kind, it will undoubtedly become the bible for DNA self-assembly and nanoscale 3D printing. The visionary father of the field of structural DNA nanotechnology, Nadrian C. Seeman, lays out its principles lucidly and with superb graphics to match. For anyone curious about synthetic DNA technologies or in connecting these principles with current research, this is a must-have must-read.’

Yamuna Krishnan, University of Chicago ‘Nadrian C. Seeman invented and pioneered structural DNA nanotechnology in the 1980s and he has been in the front line of the field since then. For many years he was alone in the field and it was considered as a mere curiosity by many scientists and ignored by most others. However, during the past fifteen years the field has blossomed and today constitutes a unique approach to organize matter at the nanoscale by selfassembly. The book gives the best possible first-hand insight into this field and its amazing development.’

Kurt Vesterager Gothelf, Aarhus Universitet, Denmark PROSE Award for Biological Science 2016 – Winner 2016 228 x 152 mm 266pp 208 colour illus. 1 table 978-0-521-76448-3 Hardback £49.99 / US$64.99 For all formats available, see

www.cambridge.org/9780521764483

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46

Also of Interest

Biophysics of DNA Alexander Vologodskii New York University

Designed to enable students and researchers of molecular biology, biochemistry and physics to better understand the biophysics of DNA, this text surveys the very latest research.

The author integrates theoretical and experimental approaches, emphasizing the importance of quantitative knowledge of physical properties in building and analyzing models of DNA functioning.

2015 247 x 174 mm 272pp 155 b/w illus. 16 colour illus. 9 tables 978-1-107-03493-8 Hardback £75.00 / US$120.00 For all formats available, see

www.cambridge.org/9781107034938

NEW IN PAPERBACK

Alan M. Turing Centenary Edition

Sara Turing Foreword by Martin Davis and Lyn Irvine Afterword by John Turing

To commemorate the centenary of Turing’s birth, this republication of his mother’s biography contains a new foreword by Martin Davis and a never-before-published memoir by Alan’s brother. The contrast between this memoir and the original biography sheds new light on Turing’s relationship with his family, and on the man himself.

‘The book is full of brilliant treasures, anecdotal accounts of Turing’s eccentricity and genius, and insights into his science … This little book, with its kaleidoscopic picture of Alan Turing’s short life, goes some way towards decoding his mind, and his family.’

The Guardian ‘Well-written and tackles some of Turing’s mathematical work.’

Engineering and Technology

Contents: Part I. Mainly Biographical; Part II. Containing Computing Machinery and Morphogenesis.

2014 216 x 140 mm 194pp 7 b/w illus.

978-1-107-52422-4 Paperback £9.99 / US$15.99 Also available 978-1-107-02058-0 Hardback £20.99 / US$31.99 For all formats available, see

www.cambridge.org/9781107524224

Also of Interest

Fred Sanger – Double Nobel Laureate A Biography

George G. Brownlee University of Oxford

Foreword by Edwin Southern University of Oxford

Drawing, in part, on a rare interview by the author, this is the first full biography of Fred Sanger to be published. Brownlee highlights the remarkable extent of Sanger’s scientific achievements, providing a real portrait of the man behind them and considering his continuing legacy as ‘the father of genomics’.

‘Fred Sanger’s innovation and achievements enabled us to read the code of life. His breakthroughs transformed science, medicine, industry and society, and continue to open our eyes to a new knowledge and understanding of how life works … This book provides a rare opportunity to see a glimpse of a remarkable man who changed the world.’

David Bentley, Vice-President and chief scientist, Illumina Inc., Cambridge ‘Every student of molecular biology would profit greatly by lingering over Sanger’s own descriptions of the several strategies he attempted and the tools he had to invent to arrive at what is referred to today as Sanger DNA Sequencing … Sanger’s success transformed molecular biology in inestimable ways and his methodology is equally foundational in such varied fields as evolutionary biology, plant breeding, paleontology, anthropology, linguistics, forensics and computer science … Fred Sanger was motivated by the challenge of discovery and believed fervently that through art and science, in their broadest

47

senses, it is possible to make a lasting contribution towards the improvement and enrichment of human life.’

Paul Berg, Stanford University, California 2014 228 x 152 mm 223pp 94 b/w illus. 8 colour illus.

978-1-107-08334-9 Hardback £28.99 / US$41.99 For all formats available, see

www.cambridge.org/9781107083349 TEXTBOOK

Membrane Structural Biology

With Biochemical and Biophysical Foundations

Second edition Mary Luckey San Francisco State University

This textbook provides a strong foundation and comprehensive overview for students and an invaluable synthesis of cutting-edge research for working scientists. This second edition is expanded to include and make accessible all the latest developments and topics, with more than twenty new high resolution structures. Links between membrane research and human health are emphasised throughout.

2014 279 x 215 mm 423pp 184 b/w illus. 610 colour illus. 16 tables 978-1-107-03063-3 Hardback £50.99 / US$91.99 For all formats available, see

www.cambridge.org/9781107030633

Visit our website at www.cambridge.org/academic

48

Professional Development

Understanding Evolution Kostas Kampourakis Université de Genève

Presenting evolution as straightforward and intuitive, this book covers core concepts of evolution and clarifies both what evolution is about and why so many people find it difficult to understand. Targeted to undergraduates embarking on any natural science degree as well as anyone wanting a basic introduction to evolutionary biology.

‘This is not just another book about why an evolutionary perspective on life is scientific whereas a Creationist perspective is not. In this well-articulated and thought-provoking book, Kostas Kampourakis asks why so many people reject evolution, despite the evidence for it and its enormous explanatory power. Kampourakis addresses the question of the acceptance of evolution from a psychological point of view, convincingly demonstrating that it is a rather counter-intuitive idea: conceptual obstacles to understanding, and thus accepting, evolution are rooted in widespread intuitions related to teleology and essentialism, which generate unwarranted preconceptions about the nature of the world and life. Kampourakis’ final suggestion is that one should try to understand evolutionary theory without worrying about its religious, metaphysical, or other implications.’

Alessandro Minelli, Università degli Studi di Padova, Italy ‘It is terrific, well written, thoughtful, balanced, and very didactic.’

Francisco J. Ayala, University of California, Irvine Choice Outstanding Academic Title 2015 – Winner 2014 247 x 174 mm 274pp 59 b/w illus. 11 tables 978-1-107-03491-4 Hardback £69.99 / US$108.00 978-1-107-61020-0 Paperback £24.99 / US$36.99 For all formats available, see

www.cambridge.org/9781107034914

Professional Development The Effective Scientist

A Handy Guide to a Successful Academic Career

Corey J. A. Bradshaw Flinders University of South Australia

Illustrated by René Campbell Flinders University of South Australia

To be effective, today’s young scientists need to apply their research outside their specialty, but the skills needed to do this well are rarely taught at university. Written specifically for early career-scientists, this step-by-step guide will help readers develop these skills, maximising the chance of a successful and effective career. ’Choose: A) Stumble through your career, or B) Read this book and avoid our mistakes.’

William J. Sutherland, Miriam Rothschild Chair in Conservation Biology, University of Cambridge ‘With a relaxed and humorous style, Bradshaw indoctrinates the uninitiated into hard-won tricks of the trade, at times opening up to the reader about his own career missteps to illustrate a point.’

The Times Higher Education 2018 228 x 152 mm 288pp 20 b/w illus.

978-1-107-17147-3 Hardback £46.99 / US$64.99 978-1-316-62085-4 Paperback £17.99 / US$24.99 For all formats available, see

www.cambridge.org/9781107171473

Successful Careers beyond the Lab Edited by David J. Bennett St Edmund’s College, Cambridge

and Richard C. Jennings University of Cambridge

This book provides an invaluable resource for undergraduate, postgraduate and early-career scientists on the wide range of alternative careers available. It brings together entertaining personal accounts from experienced role models and readable summaries of possible pathways, the skills required and the working lifestyles of careers from business and the media to government, and beyond.

‘This excellent book is directed at those for whom a conventional academic and research career is not necessarily their cup of tea. In it, you can learn how many other opportunities there are for scientists outside the usual academic route. The book is full of first-rate practical advice, emphasising the value of a self-assessment of your skills and interests, and illustrating that there is a major demand for people with training in science in many areas ranging from entrepreneurship and policy to PR and politics. Above all, do something you enjoy and believe is worthwhile, and do not consider yourself a failure because you have not continued in academic research.’

Sir Walter Bodmer, MRC Weatherall Institute of Molecular Medicine, University of Oxford ‘The enthusiastic and positive accounts in this book provide ample evidence that there is life beyond the lab, and that it can be a good life: rewarding, fulfilling and richly varied. To take that decision to go where the grass might be greener requires careful thought and the application of your best research skills – to research your own future.

This book provides one major source of

For regular email alerts visit www.cambridge.org/alerts

49

50

Professional Development

information, advice and a great range of personal words of guidance to help inform your next step.’

Gordon Chesterman, University of Cambridge Careers Service

Contents: Part I. Career Services’, Recruiters’ and Students’ Viewpoints; Part II. Industry and Related Occupations; Part III. The Public Sector; Part IV. Journalism and the Media; Part V. Science Communication, Teaching and Ethics.

2017 228 x 152 mm 366pp 4 b/w illus. 1 table 978-1-107-16105-4 Hardback £69.99 / US$89.99 978-1-316-61379-5 Paperback £27.99 / US$34.99 For all formats available, see

www.cambridge.org/9781107161054

How to Write and Illustrate a Scientific Paper Third edition Björn Gustavii Lund University Hospital, Sweden

The third edition of this compact, easyto-read book contains essential advice on how to take a manuscript from planning right through to publication.

Detailing examples of good versus bad practice, this user-friendly volume shows both first-time writers and more experienced authors how to write, illustrate and prepare a scientific paper.

Review of previous edition: ‘This book ranks with the best in the field. It is brief, to the point and easy to follow … useful to the author and editor … recommended.’

Research Communications in Molecular Pathology and Pharmacology Review of previous edition: ‘… short and straightforward … complete and user-friendly … for those making their first public steps in science, Gustavii’s book is certainly very useful.’

Annals of Human Biology 2017 228 x 152 mm 238pp 71 b/w illus.

978-1-107-15405-6 Hardback £44.99 / US$74.99 978-1-316-60791-6 Paperback £17.99 / US$29.99 For all formats available, see

www.cambridge.org/9781107154056

Professional Development

The Joy of Science

Successful Scientific Writing

Roel Snieder

Fourth edition Janice R. Matthews

Seven Principles for Scientists Seeking Happiness, Harmony, and Success Colorado School of Mines

and Jen Schneider

A Step-by-Step Guide for the Biological and Medical Sciences

Scientific Editing Services

Boise State University, Idaho

and Robert W. Matthews

This book is aimed at researchers and graduate students in science, the social sciences, and engineering who are seeking to bring a spirit of joy into their workplace and beyond. The book covers seven habits of mind that help create more balanced, harmonious, and satisfying professional and personal lives.

University of Georgia

‘In these times where scientists are under increasing pressure to prove their worth through metrics, this welcome book provides a refreshing perspective into how we might all find personal satisfaction and joy in playing the game of science.’

Julie Smith, Radford College, Canberra and Malcolm Sambridge, Australian National University, Canberra ‘This book stands out from the sea of recipes for work-life balance and time management, in that it distills joy as a core trait for ‘success’. Although it may seem at odds with the objective scientific method and the image of detached, humorless scientists, the authors make a fascinating case for personal touch, passion, and subjective imprint as core assets for creative, ground-breaking progress and improved personal lives. The book is informative and captivating, but most importantly, it is timely in an age where performance pressures surge to the detriment of progress, and academics find themselves with little time to do research.’

Tarje Nissen-Meyer, University of Oxford 2016 228 x 152 mm 216pp 34 b/w illus.

978-1-107-14555-9 Hardback £51.99 / US$78.99 978-1-316-50900-5 Paperback £19.99 / US$29.99

51

The new edition of this best-selling guide has been thoroughly updated for today’s digital world, covering all aspects of the writing process and now including extensive coverage of ethical issues, including plagiarism. It offers a rich blend of practical advice, abundant examples from actual manuscripts, and hands-on exercises.

Review of previous edition: ‘… does not disappoint. It is everything a ‘how to’ book needs to be, stuffed with plain common sense and sprinkled with useful tips.’

The Biologist Review of previous edition: ‘… strongly recommended for all geoscientists. There are three possible ways to use it. The first is to read it as a normal book from the first page to the last …

The second way is to use it as a reference … The third way is … as a textbook … Despite of what way to choose, you will find this book always very suitable.

Reading of any passage is enjoyable and stimulating. … a great success …’

Zentralblatt for Geologie und Palaeontologie 2014 228 x 152 mm 303pp 37 b/w illus. 31 tables 30 exercises 978-1-107-69193-3 Paperback £29.99 / US$39.99 For all formats available, see

www.cambridge.org/9781107691933

For all formats available, see

www.cambridge.org/9781107145559

eBooks available at www.cambridge.org/ebookstore

52

Professional Development

Funding your Career in Science

From Research Idea to Personal Grant

Ritsert C. Jansen Rijksuniversiteit Groningen, The Netherlands

How can you get the funding to establish or consolidate a career in science? This concise guide offers step-by-step advice, real-life stories and practical exercises to help you prepare effective career grant applications and optimise your funding opportunities. A must-read for students, postdoctorates, professors and anyone else serious about science.

‘This is a well-written text for the purposes of enlightening the readership on proposal writing. I highly recommend it for use by those in the early stages of seeking funding for their careers in science and engineering.’

IEEE Pulse ‘… a practical guide aimed primarily at early career academics considering the major challenge of writing applications for project grant and fellowship funding.

With success rates for proposals reduced to an all-time low, help on how to be competitive is precious … strongly recommended if you are a postgraduate biology student, postdoc or young group leader.’

Andrew Taylor-Robinson, The Biologist 2013 228 x 152 mm 216pp 15 b/w illus.

978-1-107-04006-9 Hardback £51.00 / US$82.00 978-1-107-62417-7 Paperback £18.99 / US$30.99 For all formats available, see

www.cambridge.org/9781107040069

www.cambridge.org/csb 38035

Developing a Talent for Science Ritsert C. Jansen Rijksuniversiteit Groningen, The Netherlands

How can you make the most of your talent for science? This practical guide offers valuable recommendations, real-life stories and practical exercises to enable students, postdoctorates and professors to develop their skills and succeed in academia, industry or elsewhere.

‘This insightful book offers guidance toward an enhanced productive academic or professional scientific career … a must-read for any professional in the geophysical community and for those pursuing studies in this field.’

The Leading Edge ‘… if you had only one book to recommend to a student I would suggest this one. It is all there: the tips that, if applied, will make you a good presenter, an inspiring communicator, a soughtafter collaborator and more.’

Elements 2011 228 x 152 mm 182pp 20 b/w illus.

978-0-521-19312-2 Hardback £54.00 / US$95.00 978-0-521-14961-7 Paperback £17.99 / US$30.99 For all formats available, see

www.cambridge.org/9780521193122