Computational & Systems Biology 2017

Computational & Systems Biology

2017

www.cambridge.org/csb

Welcome to the

Computational and Systems Biology book catalogue 2017

Here you will find new and forthcoming titles, representing the very latest academic research and textbooks in bioinformatics and systems biology from Cambridge University Press.

Our highlights this year include Eberhard Voit’s accessible and thoughtful introduction to the field, The Inner Workings of Life, through to more specialist books such as Bioinformatics and Computational Biology in Drug Discovery and Development, edited by Will Loging. You will also find texts to help you get the very most from your experiments and data, including Experimental Design for Laboratory Biologists and Python Programming for Biology. In this catalogue we have also included a selection of some of our most popular titles from related subject areas that may also be of interest to you.

Our publications are available in a variety of formats, including ebooks and print, as well as online collections for institutional purchase via our publishing platform Cambridge Core.

Contents Highlights 3 Systems Biology and Networks 9 Genomics 12 Bioinformatics 15 Phylogenetics 16 Computational Neuroscience 19 Algorithms 21 Knowledge Management and Data Mining 23 Pattern Recognition and Machine Learning

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Statistics and Mathematical Modeling 27 Also of Interest

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Professional Development 45

To see more book listings, product information, extracts and reviews, you can find us online at www.cambridge.org/life-sciences You can keep up-to-date with the latest news and author views by visiting our Cambridge Life Science blog at www.cambridgeblog.org/category/sci-tech/earth-andlife-sciences We are always interested in exploring new ideas for books, both for students and researchers, and would be very pleased to talk to you about any new publishing opportunities.

Do send me an email if you would like to discuss a project or idea.

I hope that you enjoy seeing our latest publications.

Dr Katrina Halliday (khalliday@cambridge.org) Publisher, Life Sciences

Cambridge University Press advances knowledge, learning and research worldwide.

Prices and publication dates are correct at the time of going to press but are subject to alteration without notice.

Order online now at www.cambridge.org/csb General enquiries: +44 (0)1223 326050 When purchasing, please quote the product ISBNs. For information about our privacy and data protection policy, please visit www.cambridge.org/privacy or email mlist@cambridge.org

Highlights Highlight

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The Inner Workings of Life

Computer Age Statistical Inference

Vignettes in Systems Biology Eberhard O. Voit

Algorithms, Evidence, and Data Science Bradley Efron

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 2016 228 x 152 mm 222pp 978-1-107-14995-3 Hardback £49.99 / US$79.99 978-1-316-60442-7 Paperback £19.99 / US$29.99

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

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

Institute of Mathematical Statistics Monographs, 5

For all formats available, see

2016 228 x 152 mm 492pp 5 b/w illus. 40 colour illus. 50 tables 978-1-107-14989-2 Hardback £45.99 / US$74.99

www.cambridge.org/9781107149953

For all formats available, see

www.cambridge.org/9781107149892

eBooks available at www.cambridge.org/ebookstore

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Highlights

HIGHLIGHT

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Textbook

TEXTBOOK

Experimental Design for Laboratory Biologists Maximising Information and Improving Reproducibility Stanley E. Lazic AstraZeneca

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.

‘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 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 2016 246 x 189 mm 425pp 124 b/w illus.

978-1-107-07429-3 Hardback £99.99 / US$175.00 978-1-107-42488-3 Paperback £39.99 / US$64.99 For all formats available, see

www.cambridge.org/9781107074293

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, jargon-free 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

Highlights

expression often fails to, and the programming element allows the reader to become actively involved.’

Jeremy Craven, University of Sheffield 2015 247 x 174 mm 711pp 91 b/w illus. 11 colour illus. 3 tables 978-0-521-89583-5 Hardback £88.00 / US$144.00 978-0-521-72009-0 Paperback £45.99 / US$72.00 For all formats available, see

www.cambridge.org/9780521895835

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 £60.00 / US$99.00 978-1-107-64218-8 Paperback £34.99 / US$49.99 For all formats available, see

www.cambridge.org/9781107042827

HIGHLIGHT

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TEXTBOOK

TEXTBOOK

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

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Systems Biology Constraint-based Reconstruction and Analysis Bernhard O. 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 O. Palsson is a leading pioneer in constructing and analyzing genomescale models of such networks. Here Palsson offers students an insider’s guided tour of the concepts, principles and techniques underlying this

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Highlights

emerging field. The book is brilliantly laid out and offers professors wellstructured, much-needed material for a graduate-level course in systems biology and network science.’

James J. Collins, Massachusetts Institute of Technology

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 £45.99 / US$82.00 For all formats available, see

www.cambridge.org/9781107038851

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, Università degli Studi, Pisa

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.

HIGHLIGHT

2015 247 x 174 mm 413pp 90 b/w illus. 4 tables 269 exercises 978-1-107-07853-6 Hardback £40.99 / US$67.00

Textbook

For all formats available, see

Genome-Scale Algorithm Design Biological Sequence Analysis in the Era of High-Throughput Sequencing Veli Mäkinen University of Helsinki

Djamal Belazzougui University of Helsinki

Fabio Cunial University of Helsinki

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

www.cambridge.org/9781107078536 HIGHLIGHT 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.

2016 246 x 189 mm 474pp 371 colour illus. 12 tables 30 exercises 978-1-107-07626-6 Hardback £34.99 / US$59.99 For all formats available, see

www.cambridge.org/9781107076266

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Bioinformatics and Computational Biology in Drug Discovery and Development Edited by William T. Loging

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 2016 247 x 174 mm 244pp 46 b/w illus. 9 colour illus. 3 tables 978-0-521-76800-9 Hardback £44.99 / US$74.99 For all formats available, see

www.cambridge.org/9780521768009

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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.

‘This is a beautifully and lucidly written book of great insights. I can say that I have not seen in one volume such clear analysis of the nuanced view of the “gene” … [It includes] compact, accurate and well-documented historical sections as well as references to philosophical themes (essentialism, determinism) that illustrates the breadth of [the author’s] knowledge of genetics, history of science and philosophy of science. This book will certainly correct textbooks that have not delved as deeply for historical accuracy. … This is a valuable book that gives genes a new and accurate meaning and does justice to understanding genetics in a non-reductively [manner] through a systems approach. The clarity, precision and insights are wonderful.’

MAKING

SENSE OF

GENE S

KOSTAS K AMPOUR AKIS

Sheldon Krimsky, Tufts University 2017 228 x 152mm 330pp 97 b/w illus. 10 tables 978-1-107-12813-2 Hardback c.£64.99 / US c.$99.99 978-1-107-56749-8 Paperback c.£24.99 / US c.$39.99 For all formats available, see www.cambridge.org/9781107128132

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Modern Prometheus Editing the Human Genome with Crispr-Cas9 Jim Kozubek Massachusetts Institute of Technology and Harvard Medical School

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.

‘Kozubek … gives the general reader a solid introduction to the current state of affairs, as seen by its creators and those who are using it in research and commerce.’

George J. Annas, Science ‘… as eye-witness to a revolution in reading and writing our own genomes, [Kozubek] has done a truly remarkable job of getting the nuances right, while dodging through the minefields between enthusiasm and easy dismissal. Provides a rich tapestry of insights into the scientific discovery, technology development and applications to many agricultural, environmental and medical problems which should matter deeply to all readers.’

George Church, Harvard University 2016 228 x 152 mm 395pp 4 b/w illus. 1 colour illus.

978-1-107-17216-6 Hardback £24.99 / US$29.99 For all formats available, see

www.cambridge.org/9781107172166

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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, but 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 2016 228 x 152 mm 300pp 21 b/w illus. 26 colour illus.

978-1-107-17624-9 Hardback £17.99 / US$24.99 For all formats available, see

www.cambridge.org/9781107176249

Systems Biology and Networks Networks, Crowds, and Markets Reasoning about a Highly Connected World David Easley Cornell University, New York

and Jon Kleinberg 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

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 £44.99 / US$62.00 For all formats available, see

www.cambridge.org/9780521195331

Systems Genetics Linking Genotypes and Phenotypes Edited by Florian Markowetz Cancer Research UK Cambridge Institute

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 Cambridge Series in Systems Genetics

2015 247 x 174 mm 268pp 101 b/w illus. 12 tables 978-1-107-01384-1 Hardback £69.99 / US$115.00 For all formats available, see

www.cambridge.org/9781107013841

eBooks available at www.cambridge.org/ebookstore

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Systems Biology and Networks

Systems Biology: Simulation of Dynamic Network States Bernhard Ø. Palsson University of California, San Diego

Large omics data sets are difficult to interpret and use, but this practical book teaches how to build complex dynamical models of biochemical networks and simulate their responses. All examples in the text are available in MATLAB® and Mathematica® workbooks, allowing easy hands-on practice.

Contents: Part I. Simulation of Dynamic States; Part II. Biological Characteristics; Part III. Metabolism; Part IV. Macromolecules.

2011 247 x 174 mm 332pp 126 b/w illus.

978-1-107-00159-6 Hardback £57.00 / US$103.00 For all formats available, see

www.cambridge.org/9781107001596

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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 2014 247 x 174 mm 350pp 25 b/w illus. 193 colour illus. 5 tables 165 exercises 978-1-107-06190-3 Hardback £40.99 / US$67.00 For all formats available, see

www.cambridge.org/9781107061903

Systems Biology and Networks

Systems Biology of Cancer

Protein Interaction Networks

Edited by Sam Thiagalingam

Computational Analysis Aidong Zhang

Boston University School of Medicine

Cancer is a complex group of diseases with many possible causes.

Bringing together the 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.

State University of New York, Buffalo

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.

2009 253 x 215 mm 292pp 79 b/w illus. 11 colour illus. 30 tables 978-0-521-88895-0 Hardback £57.00 / US$98.00

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This is the first full survey of statistical, topological, data-mining, and ontologybased methods for analyzing proteinprotein interaction networks. For each approach, the book explains the fundamental principles and discusses the benefits and drawbacks. The book then goes on to offer ideas for future research.

For all formats available, see

www.cambridge.org/9780521888950

2015 246 x 189 mm 548pp 83 b/w illus. 20 tables 978-0-521-49339-0 Hardback £88.00 / US$139.00 For all formats available, see

www.cambridge.org/9780521493390

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Genomics Optogenetics From Neuronal Function to Mapping and Disease Biology Edited by Krishnarao Appasani GeneExpression Systems, Inc., Massachusetts

Optogenetics From NEuroNal FuNctioN to mappiNg aNd disEasE Biology Edited by Krishnarao Appasani with forewords by Gero Miesenböck and Georg Nagel

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.

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, Neuro-psychiatric 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 544pp 65 b/w illus. 37 colour illus. 6 tables 978-1-107-05301-4 Hardback £125.00 / US$175.00 Publication March 2017 For all formats available, see

www.cambridge.org/9781107053014

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

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 £54.99 / US$89.99 Also available 978-1-107-00382-8 Hardback £113.00 / US$180.00 For all formats available, see

www.cambridge.org/9781107697836

Genomics

Genome-Wide Association Studies

MicroRNAs

From Polymorphism to Personalized Medicine Edited by Krishnarao Appasani

From Basic Science to Disease Biology Edited by Krishnarao Appasani

GeneExpression Systems, Inc., Massachusetts

GeneExpression Systems, Inc., Massachusetts

Foreword by Stephen W. Scherer

Foreword by Victor R. Ambros and Sidney Altman

University of Toronto

and Peter M. Visscher University of Queensland

Genome-wide association studies (GWAS) will have increasing importance in the post-genomic 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 personalised medicine. ‘… 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

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. NextGeneration 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 £115.00 / US$185.00 For all formats available, see

www.cambridge.org/9781107042766

New in Paperback

This wide-ranging reference work will be an invaluable resource for all those wishing to use microRNA techniques in their own research, both in academia and industry. From their discovery, functions and detection to their role in disease biology, this volume uniquely integrates basic microRNA biology with future applications. ‘… comprehensive and detailed … compiled logically … informative and easy to read.’

Microbiology Today

Contents: Part I. Discovery of MicroRNAs in Various Organisms; Part II. MicroRNA Functions and RNAi-Mediated Pathways; Part III. Computational Biology of MicroRNAs; Part IV. Detection and Quantitation of MicroRNAs; Part V. MicroRNAs in Disease Biology; Part VI. MicroRNAs in Stem Cell Development.

2009 244 x 170 mm 580pp 978-0-521-11855-2 Paperback £54.99 / US$89.99 Also available 978-0-521-86598-2 Hardback £124.00 / US$196.00 For all formats available, see

www.cambridge.org/9780521118552

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Genomics

New in Paperback

RNA Interference Technology From Basic Science to Drug Development Edited by Krishnarao Appasani GeneExpression Systems, Inc., Massachusetts

Foreword by Andrew Fire Stanford University, California

and Marshall Nirenberg National Institutes of Health

RNA Interference (RNAi) technology has rapidly become one of the key methods used in functional genomics.

In this overview, the basic concepts of RNAi biology are discussed, as well as the current and potential applications, providing an invaluable reference for all those who need to understand this emerging technology.

Contents: Part I. Basic RNAi, siRNA and Gene Silencing Mechanisms; Part II. Design and Synthesis of siRNAs; Part III. Vector Development and In Vivo, In Vitro and In Ovo Delivery Methods; Part IV. Gene Silencing in Model Organisms; Part V. Drug Target Validation; Part VI. Therapeutic and Drug Development; Part VII. Genome Wide RNAi and High Through-Put Analysis.

2011 254 x 178 mm 546pp 978-0-521-20517-7 Paperback £50.00 / US$74.99 Also available 978-0-521-83677-7 Hardback £113.00 / US$180.00 For all formats available, see

www.cambridge.org/9780521205177

Bacterial Genomics Genome Organization and Gene Expression Tools Aswin Sai Narain Seshasayee

‘This book is very timely. The chapters on the basics of RNAi, siRNA and miRNAs are an excellent summary of the recent origins of this topic and the various sections dealing with RNAi technology provided comprehensive background material. I am sure that, even with the rapid progress in RNAi, this book will be useful for both newcomers to the field wishing to get an overview and for experienced researchers looking for a summary of published information.’

Tata Institute of Fundamental Research, Mumbai, India

David Baulcombe, Sainsbury Laboratory, Norwich

2015 244 x 170 mm 230pp 978-1-107-07983-0 Hardback £67.00 / US$102.00

This book presents a review of the cutting-edge literature – emphasising 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.

For all formats available, see

www.cambridge.org/9781107079830

Bioinformatics Biological Sequence Analysis Probabilistic Models of Proteins and Nucleic Acids Richard Durbin 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

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 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 £35.99 / US$67.00 For all formats available, see

www.cambridge.org/9780521847544

1998 247 x 174 mm 370pp 100 b/w illus. 50 tables 978-0-521-62971-3 Paperback £44.99 / US$62.00 For all formats available, see

www.cambridge.org/9780521629713

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Phylogenetics Bayesian Evolutionary Analysis with BEAST Alexei J. Drummond University of Auckland

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 onestop 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

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

2015 247 x 174 mm 260pp 21 b/w illus. 70 colour illus. 9 tables 978-1-107-01965-2 Hardback £39.99 / US$64.99 For all formats available, see

www.cambridge.org/9781107019652

Phylogenetic Networks Concepts, Algorithms and Applications Daniel H. Huson Eberhard-Karls-Universität Tübingen, Germany

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 networkbased 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

Phylogenetics

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

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 £45.99 / US$77.00 For all formats available, see

www.cambridge.org/9780521755962

17

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 £45.99 / US$72.00 For all formats available, see

www.cambridge.org/9780521730716

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18

Phylogenetics

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

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 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.

Systematics Association Special Volume Series

2016 246 x 189 mm 351pp 40 b/w illus. 8 colour illus. 5 tables 978-1-107-02858-6 Hardback £59.99 / US$94.99 For all formats available, see

www.cambridge.org/9781107028586

The Future of Phylogenetic Systematics The Legacy of Willi Hennig Edited by David Williams Natural History Museum, London

Michael Schmitt Ernst-Moritz-Arndt-Universität Greifswald, Germany

and Quentin Wheeler State University of New York

Detailing Willi Hennig’s founding of phylogenetic systematics, this book conveys that Hennig’s work is a relevant platform now and for the future of cladistics. Dimension is given to Hennig’s contribution throughout to encourage renewed interest in the development of comparative biology.

Systematics Association Special Volume Series

2016 246 x 189 mm 508pp 75 b/w illus. 1 table 978-1-107-11764-8 Hardback £99.99 / US$155.00 For all formats available, see

www.cambridge.org/9781107117648

Computational Neuroscience 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-of-chapter 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 £77.00 / US$118.00 978-1-107-63519-7 Paperback £35.99 / US$62.00 For all formats available, see

www.cambridge.org/9781107060838

Brain-Computer Interfacing An Introduction Rajesh P. N. Rao University of Washington

This introduction to the field of braincomputer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.

‘Rajesh P. N. Rao has written the perfect introduction to the exciting world of brain-computer interfaces.

The book is remarkably comprehensive – not only including full descriptions of classic and current experiments but also covering essential background concepts, from the brain to Bayes and back. Brain-Computer Interfacing will be welcomed by a wide range of intelligent readers interested in understanding the first steps toward the symbiotic merger of brains and computers.’

Eberhard E. Fetz, University of Washington

Contents: Part I. Background; Part II. Putting it All Together; Part III. Major Types of BCIs; Part IV. Applications and Ethics.

2013 253 x 177 mm 337pp 130 b/w illus. 16 colour illus. 3 tables 179 exercises 978-0-521-76941-9 Hardback £57.00 / US$93.00 For all formats available, see

www.cambridge.org/9780521769419

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20

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 2011 246 x 189 mm 404pp 178 b/w illus. 7 tables 978-0-521-87795-4 Hardback £49.99 / US$79.99 For all formats available, see

www.cambridge.org/9780521877954

Algorithms Algorithms on Strings, Trees, and Sequences

Analytic Pattern Matching

Computer Science and Computational Biology Dan Gusfield

From DNA to Twitter Philippe Jacquet

University of California, Davis

and Wojciech Szpankowski

String processing is an important tool in processing electronically stored text and in analysing DNA sequence data.

This book describes string problems in computer science and in molecular biology, and the algorithms developed to solve them. It is a reference for computer scientists and computer-oriented professionals in biology and a text for graduate and advanced undergraduate courses on string algorithms and on computational biology.

Purdue University, Indiana

‘The readers of this book will be serious programmers, but of course anybody working in bio-computing will find the book of immense practical, scientific and commercial importance … you should get the book, whether you want to do some string processing, fundamental computing research, or want to impress a biotech firm.’

Harold Thimbleby, The Times Higher Education Supplement

Bell Laboratories, New Jersey

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 £45.99 / US$77.00 For all formats available, see

www.cambridge.org/9780521876087

Contents: Part I. Exact String Matching; Part II. Suffix Trees and their Uses; Part III. Inexact Matching, Sequence Alignment and Dynamic Programming; Part IV. Currents, Cousins and Cameos.

1997 253 x 177 mm 556pp 145 b/w illus.

978-0-521-58519-4 Hardback £62.00 / US$103.00 For all formats available, see

www.cambridge.org/9780521585194

eBooks available at www.cambridge.org/ebookstore

22

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.

Advance praise: ‘As randomized methods continue to grow in importance, this textbook provides a rigorous yet accessible introduction to fundamental concepts that need to be widely known. The new chapters in this second edition, about sample size and power laws, make it especially valuable for today’s applications.’

Donald E. Knuth, Stanford University 2017 253 x 177 mm 488pp 8 b/w illus. 1 table 978-1-107-15488-9 Hardback £44.99 / US$69.99 Publication March 2017 For all formats available, see

www.cambridge.org/9781107154889

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 2016 253 x 177 mm 570pp 140 b/w illus.

978-1-107-15238-0 Hardback £54.99 / US$89.99 For all formats available, see

www.cambridge.org/9781107152380

Knowledge Management and Data Mining Foundations of Data Exchange Marcelo Arenas Pontificia Universidad Catolica de Chile

Pablo Barceló Universidad de Chile

Leonid Libkin University of Edinburgh

and Filip Murlak Uniwersytet Warszawski, Poland

Data exchange is the problem of exchanging data between different databases with different schemas. A systematic study has been conducted over the past decade, making it one of the most active research topics in databases. This book is the first to summarize the key developments in that research.

Contents: Part I. Getting Started; Part II. Relational Data Exchange; Part III. XML Data Exchange; Part IV. Metadata Management.

2014 247 x 174 mm 341pp 26 b/w illus. 90 exercises 978-1-107-01616-3 Hardback £40.99 / US$67.00 For all formats available, see

www.cambridge.org/9781107016163

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 2016 253 x 177 mm 543pp 14 b/w illus. 7 tables 978-1-107-12577-3 Hardback £64.00 / US$79.99 For all formats available, see

www.cambridge.org/9781107125773

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24

Knowledge Management and Data Mining

Data-Intensive Computing Architectures, Algorithms, and Applications Edited by Ian Gorton Pacific Northwest National Laboratory, Washington

and Deborah K. Gracio Pacific Northwest National Laboratory, Washington

This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today.

Applications in bioinformatics and cybersecurity illustrate these principles in practice.

2012 228 x 152 mm 297pp 82 b/w illus. 8 tables 978-0-521-19195-1 Hardback £62.00 / US$93.00 For all formats available, see

www.cambridge.org/9780521191951

Mining of Massive Datasets Second edition Jure Leskovec Stanford University, California

Anand Rajaraman 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$72.00 For all formats available, see

www.cambridge.org/9781107077232 Textbook

Data Mining and Analysis Fundamental Concepts and Algorithms Mohammed J. Zaki 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 £42.99 / US$69.99 For all formats available, see

www.cambridge.org/9780521766333

Pattern Recognition and Machine Learning Kernel Methods and Machine Learning

Understanding Machine Learning

S. Y. Kung

From Theory to Algorithms Shai Shalev-Shwartz

Princeton University, New Jersey

Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over 200 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 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 £62.00 / US$103.00 For all formats available, see

www.cambridge.org/9781107024960

Hebrew University of Jerusalem

and Shai Ben-David University of Waterloo, Ontario

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the ‘hows’ and ‘whys’ of machine-learning algorithms, making the field accessible to both students and practitioners.

‘This elegant book covers both rigorous theory and practical methods of machine learning. This makes it a rather unique resource, ideal for all those who want to understand how to find structure in data.’

Bernhard Schölkopf, Max Planck Institute for Intelligent Systems, Germany

Contents: Part I. Foundations; Part II. From Theory to Algorithms; Part III. Additional Learning Models; Part IV. Advanced Theory.

2014 253 x 177 mm 410pp 47 b/w illus. 123 exercises 978-1-107-05713-5 Hardback £41.99 / US$64.99 For all formats available, see

www.cambridge.org/9781107057135

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26

Pattern Recognition and Machine Learning

Textbook

Machine Learning Refined Foundations, Algorithms, and Applications Jeremy Watt Northwestern University, Illinois

Reza Borhani Northwestern University, Illinois

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.

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

2016 247 x 174 mm 298pp 135 colour illus. 3 tables 81 exercises 978-1-107-12352-6 Hardback £54.99 / US$84.99 For all formats available, see

www.cambridge.org/9781107123526

Statistics and Mathematical Modeling 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 2016 246 x 189 mm 230pp 40 b/w illus. 5 colour illus. 200 exercises 978-1-107-57646-9 Paperback £29.99 / US$44.99 For all formats available, see

www.cambridge.org/9781107576469

New in Paperback

Bayesian Inference for Gene Expression and Proteomics Edited by Kim-Anh Do University of Texas, MD Anderson Cancer Center

Peter Müller Swiss Federal Institute of Technology, Zürich

and Marina Vannucci Rice University, Houston

A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.

‘A text that has a systematic account of Bayesian analysis in computational biology has been needed for a long time. This book is a timely publication entirely devoted to cutting-edge Bayesian methods in genomics and proteomics research and many of its contributors are leading authorities in the field. It is thus an indispensable reference for researchers who are interested in applying Bayesian techniques in their own biological research.’

Ping Ma, University of Illinois, UrbanaChampaign 2012 228 x 152 mm 456pp 22 tables 978-1-107-63698-9 Paperback £35.99 / US$62.00 Also available 978-0-521-86092-5 Hardback £72.00 / US$129.00 For all formats available, see

www.cambridge.org/9781107636989

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28

Statistics and Mathematical Modeling

Advances in Statistical Bioinformatics

New in Paperback

Large-Scale Inference

University of Texas, MD Anderson Cancer Center

Empirical Bayes Methods for Estimation, Testing, and Prediction Bradley Efron

Zhaohui Steve Qin

Stanford University, California

Emory University, Atlanta

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.

Models and Integrative Inference for High-Throughput Data Edited by Kim-Anh Do

and Marina Vannucci Rice University, Houston

Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This material is written for statisticians who are interested in modeling and analyzing high-throughput data.

2013 228 x 152 mm 514pp 120 b/w illus. 17 colour illus. 20 tables 978-1-107-02752-7 Hardback £113.00 / US$180.00 For all formats available, see

www.cambridge.org/9781107027527

‘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 £28.99 / US$45.99 For all formats available, see

www.cambridge.org/9781107619678

Statistics and Mathematical Modeling

29

Statistical Learning for Biomedical Data

Highlight

Causal Inference for Statistics, Social, and Biomedical Sciences

James D. Malley National Institutes of Health, Maryland

Karen G. Malley

An Introduction Guido W. Imbens

Malley Research Programming, Maryland

and Sinisa Pajevic

Stanford University, California

National Institutes of Health, Maryland

and Donald B. Rubin

Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Harvard University, Massachusetts

In this groundbreaking text, two worldrenowned 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.

‘The book is well written and provides nice graphics and numerous applications.’

Michael R. Chernick, Technometrics

‘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

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.

Contents: Part I. Introduction; Part II. A Machine Toolkit; Part III. Analysis Fundamentals; Part IV. Machine Strategies.

Practical Guides to Biostatistics and Epidemiology

2011 247 x 174 mm 298pp 47 b/w illus. 25 tables 978-0-521-87580-6 Hardback £82.00 / US$139.00 978-0-521-69909-9 Paperback £35.99 / US$62.00 For all formats available, see

www.cambridge.org/9780521875806

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 £40.99 / US$62.00 For all formats available, see

www.cambridge.org/9780521885881

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30

Statistics and Mathematical Modeling

A Biostatistics Toolbox for Data Analysis Steve Selvin University of California, Berkeley

A Biostatistics Toolbox for Data Analysis delivers a sophisticated package of statistical methods for advanced master’s (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. The book’s statistical tools are organized into sections with similar objectives, each of which is accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls.

‘Professor Selvin is a master at making statistical procedures and their complex underpinnings accessible to students of all levels of expertise.

This book is a brilliant compendium of Professor Selvin’s tremendous understanding of the breadth and depth of biostatistical tools that he delivers to the reader with superb clarity. A broad range of salient statistical concepts are covered, pleasantly anchored with a brief history, described formally for the more initiated reader, and expertly illustrated with real-life data examples that are readily understood by the less mathematically inclined. Researchers from a myriad of scientific disciplines seeking masterful guidance about conducting their statistical data analysis will absolutely want this book at their fingertips.’

Gary Shaw, Stanford University, California

Contents: Part I. Basics; Part II. Applications; Part III. Survival; Part IV. Epidemiology; Part V. Genetics; Part VI. Theory; .

2015 253 x 177 mm 578pp 146 b/w illus. 290 tables 978-1-107-11308-4 Hardback £39.99 / US$64.99 For all formats available, see

www.cambridge.org/9781107113084

Genomic Clinical Trials and Predictive Medicine Richard M. Simon National Cancer Institute, Maryland

This book focuses on novel approaches that provide a reliable basis for identifying which patients are likely to benefit from each treatment. Aimed at both clinical investigators and statisticians, it covers the development and validation of prognostic and predictive biomarkers and their integration into clinical trials.

‘This book will be a valuable resource to those involved in genomic clinical trials. The author touches on many of the important issues in this field and provides a useful selection of approaches to handling them.’

Matthew Schipper, International Statistical Review Practical Guides to Biostatistics and Epidemiology

2013 247 x 174 mm 153pp 11 b/w illus. 3 tables 978-1-107-00880-9 Hardback £77.00 / US$118.00 978-1-107-40135-8 Paperback £30.99 / US$45.99 For all formats available, see

www.cambridge.org/9781107008809

Statistics and Mathematical Modeling

Python for Scientists John M. Stewart University of Cambridge

Python is a free and easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB® and Mathematica®. This book explains Python from scratch, covering everything students and researchers need to get up and running.

No previous knowledge of the software is required. ‘… 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.’

European Mathematical Society (euro-mathsoc.eu) 2014 247 x 174 mm 234pp 36 b/w illus.

978-1-107-06139-2 Hardback £72.00 / US$113.00 978-1-107-68642-7 Paperback £30.99 / US$45.99 For all formats available, see

www.cambridge.org/9781107061392

Integrating Omics Data George Tseng University of Pittsburgh

Debashis Ghosh Colorado School of Public Health

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,

31

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 £82.00 / US$129.00 For all formats available, see

www.cambridge.org/9781107069114

Core Statistics Simon N. Wood University of Bath

Core Statistics is a compact starter course on the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. It delivers the theory and tools that a beginning graduate student, or any quantitative scientist, needs to make informed use of powerful statistical methods.

‘The author keeps this book concise by focusing entirely on topics that are most relevant for scientific modeling via maximum likelihood and Bayesian inference. This makes it an ideal text and handy reference for any mathliterate scientist who wants to learn how to build sophisticated parametric models and fit them to data using modern computational approaches.

I will be recommending this wellwritten book to my collaborators.’

Murali Haran, Pennsylvania State University Institute of Mathematical Statistics Textbooks, 6

2015 228 x 152 mm 258pp 43 b/w illus. 2 tables 51 exercises 978-1-107-07105-6 Hardback £62.00 / US$102.00 978-1-107-41504-1 Paperback £25.99 / US$39.99 For all formats available, see

www.cambridge.org/9781107071056

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32

Statistics and Mathematical Modeling

Data Management Essentials Using SAS and JMP Julie Kezik Yale School of Public Health

and Melissa Hill Cd3 Inc., Texas

This book is designed for the first time or occasional SAS user who needs immediate guidance in navigating, exploring, visualizing, cleaning and reporting on data. It teaches the basic SAS skills essential to data management, including practical exercises with solutions. No formal or informal training is required.

‘The authors have created a very readable and gentle introduction to SAS programming and its working environment – Enterprise Guide. The text provides a valuable overview of ‘navigating’ in a SAS windowing environment and before moving quickly into core procedures. … a very valuable introduction to basic SAS programming for the beginning data analyst.’

Glenn Gamst, University of la Verne, California 2016 234 x 177 mm 150pp 74 b/w illus. 4 tables 31 exercises 978-1-107-11456-2 Hardback £64.99 / US$99.99 978-1-107-53503-9 Paperback £19.99 / US$29.99 For all formats available, see

www.cambridge.org/9781107114562

Handbook for Applied Modeling: Non-Gaussian and Correlated Data Jamie Riggs Northwestern University, Illinois

and Trent Lalonde University of Northern Colorado

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.

2017 253 x 177 mm 350pp 978-1-107-14699-0 Hardback c. £62.99 / c. US$99.99 Publication June 2017 For all formats available, see

www.cambridge.org/9781107146990

Statistics and Mathematical Modeling

Analysis of Multivariate and HighDimensional 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/graduate students in statistics and working scientists in data-rich 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

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 £67.00 / US$95.00 For all formats available, see

www.cambridge.org/9780521887939

33

Confidence, Likelihood, Probability Statistical Inference with Confidence Distributions Tore Schweder Universitetet i Oslo

and Nils Lid Hjort Universitetet i Oslo

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

Nancy Reid, University Professor of Statistical Sciences, University of Toronto 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 £52.99 / US$84.99 For all formats available, see

www.cambridge.org/9780521861601

eBooks available at www.cambridge.org/ebookstore

34

Statistics and Mathematical Modeling

Mathematical Foundations of Infinite-Dimensional Statistical Models Evarist Giné University of Connecticut

and Richard Nickl University of Cambridge

High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.

‘Finally – a book that goes all the way in the mathematics of nonparametric statistics. It is reasonably selfcontained, despite its depth and breadth, including accessible overviews of the necessary analysis and approximation theory.’

Aad van der Vaart, Universiteit Leiden Cambridge Series in Statistical and Probabilistic Mathematics, 40

2016 253 x 177 mm 720pp 978-1-107-04316-9 Hardback £59.99 / US$99.99 For all formats available, see

www.cambridge.org/9781107043169

Random Graphs and Complex Networks Volume 1 Remco van der Hofstad Technische Universiteit Eindhoven, The Netherlands

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. ‘… 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

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

Cambridge Series in Statistical and Probabilistic Mathematics, 43

2016 253 x 177 mm 375pp 58 b/w illus. 5 tables 978-1-107-17287-6 Hardback £39.99 / US$59.99 For all formats available, see

www.cambridge.org/9781107172876

Statistics and Mathematical Modeling

Probability on Trees and Networks Russell Lyons Indiana University, Bloomington

and Yuval Peres Microsoft Research, Washington

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.

Advance praise: ‘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.’

35

Statistical Principles for the Design of Experiments Applications to Real Experiments R. Mead University of Reading

S. G. Gilmour University of Southampton

and A. Mead University of Warwick

This book focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in a variety of disciplines, including biological and physical sciences, engineering, medicine and agriculture. It contains numerous exercises and a wide range of examples drawn from real experiments.

Cambridge Series in Statistical and Probabilistic Mathematics, 36

2012 253 x 177 mm 586pp 200 b/w illus. 400 tables 80 exercises 978-0-521-86214-1 Hardback £72.00 / US$99.99 For all formats available, see

www.cambridge.org/9780521862141

Thomas M. Liggett, University of California, Los Angeles Cambridge Series in Statistical and Probabilistic Mathematics, 42

2017 253 x 177 mm 600pp 78 b/w illus. 13 colour illus. 4 tables 864 exercises 978-1-107-16015-6 Hardback £49.99 / US$79.99 Publication January 2017 For all formats available, see

www.cambridge.org/9781107160156

Visit our website at www.cambridge.org/academic

36

Statistics and Mathematical Modeling

Regression for Categorical Data Gerhard Tutz Ludwig-Maximilians-Universität Munchen

This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression and recent developments in flexible and high-dimensional regression. Among the topics treated are nonparametric regression; the hurdle model and zero-inflated regression models for count data; and nonstandard tree-based ensemble methods.

Cambridge Series in Statistical and Probabilistic Mathematics, 34

2012 253 x 215 mm 572pp 98 b/w illus. 102 tables 77 exercises 978-1-107-00965-3 Hardback £62.00 / US$98.00 For all formats available, see

www.cambridge.org/9781107009653

Large Sample Covariance Matrices and High-Dimensional Data Analysis Jianfeng Yao The University of Hong Kong

Shurong Zheng Northeast Normal University, China

and Zhidong Bai Northeast Normal University, China

High-dimensional statistical methods are at the heart of the new era of big data analytics. This book, written by leading experts, is highly recommended for anyone who wants to make serious use of these modern statistical tools.

‘This is the first book which treats systematic corrections to the classical multivariate statistical procedures so that the resultant procedures can be used for high-dimensional data.

The corrections have been done by employing asymptotic tools based on the theory of random matrices.’

Yasunori Fujikoshi, Hiroshima University, Japan Cambridge Series in Statistical and Probabilistic Mathematics, 39

2015 253 x 177 mm 322pp 80 b/w illus. 30 tables 978-1-107-06517-8 Hardback £54.00 / US$85.00 For all formats available, see

www.cambridge.org/9781107065178

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 2014 228 x 152 mm 223pp 94 b/w illus. 8 colour illus.

978-1-107-08334-9 Hardback £27.99 / US$39.99 For all formats available, see

www.cambridge.org/9781107083349

New in Paperback

The Systems View of Life A Unifying Vision Fritjof Capra 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

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 £18.99 / US$24.99 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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38

Also of Interest

Trusting Judgements How to Get the Best out of Experts Mark A. Burgman University of Melbourne

Policy- and decision-makers in government and industry rely routinely on expert advice to fill critical scientific knowledge gaps. Yet even the best experts can be over-confident and error-prone. This book describes how to identify potentially risky advice, and how to ensure expert advice is relatively reliable and accurate.

2015 228 x 152 mm 214pp 56 b/w illus. 4 tables 978-1-107-11208-7 Hardback £54.99 / US$89.99 978-1-107-53102-4 Paperback £19.99 / US$34.99 For all formats available, see

www.cambridge.org/9781107112087

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

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.

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 £24.99 / US$39.99 For all formats available, see

www.cambridge.org/9781107010833

Also of Interest

Textbook

Introduction to Cancer Biology Robin Hesketh

The Computing Universe A Journey through a Revolution Tony Hey

University of Cambridge

Microsoft Research, Washington

A concise overview of the fundamental concepts of cancer biology, ideal for those with little or no background in the field. From cancer epidemiology and the underlying mechanisms, through to tumour detection and treatment, the comprehensive picture revealed will enable students to move into the cancer field with confidence.

and Gyuri Pápay

‘Robin Hesketh has produced a remarkable introduction to cancer biology which covers all of the key areas of current knowledge and brings them up to date to current research concepts and developments remarkably. He writes in an accessible way that will be valuable for students fresh to biology but also produces a book that will be very useful to experienced biologists and physicians who want to have to hand a broad overview of this fast moving and diverse field … The structure of the book is clear and informative and encompasses critically important biological knowledge from the level of the cell to population studies in epidemiology … it is very challenging to introduce a book which is really useful both for new students and established practitioners. Robin Hesketh has succeeded remarkably well in doing so.’

39

University of Southampton

This exciting and accessible book takes us on a journey from the early days of computers to the cutting-edge research of the present day. It introduces a fascinating cast of dreamers and inventors who brought these great technological developments, and will open up the universe of computing to those who wonder where their smartphone came from.

‘Tony Hey has made significant contributions to both physics and computer science and with The Computing Universe he and his co-author share the knowledge and history that has inspired us all.’

Bill Gates

Choice Outstanding Academic Title 2015 – Winner 2015 297 x 210 mm 424pp 596 colour illus. 20 tables 978-0-521-76645-6 Hardback £51.00 / US$87.00 978-0-521-15018-7 Paperback £25.99 / US$39.99 For all formats available, see

www.cambridge.org/9780521766456

Peter Selby, Director, Leeds Institute of Molecular Medicine 2012 246 x 189 mm 351pp 130 b/w illus. 38 colour illus.

978-1-107-01398-8 Hardback £79.99 / US$125.00 978-1-107-60148-2 Paperback £34.99 / US$54.99 For all formats available, see

www.cambridge.org/9781107013988

eBooks available at www.cambridge.org/ebookstore

40

Also of Interest

Methods of Molecular Analysis in the Life Sciences Andreas Hofmann Griffith University, Queensland

With contributions by Anne Simon Université Lyon I

Tanja Grkovic Griffith University, Queensland

and Malcolm Jones Queensland Institute of Medical Research

This concise text presents the fundamental principles of the most popular and contemporary analytical methods for studying the properties of biological molecules and their interactions. Advanced undergraduates and graduates will find this a valuable source to enhance their understanding of these cutting-edge techniques, used in research across the life sciences.

‘The book by Hofmann et al. is an invaluable tool for students (and even more advanced practitioners) in the field of experimental biochemistry and biophysics. It covers in considerable detail a variety of methods and provides very clear explanation on how they can be applied and what can be learned during the process. The book is very well illustrated and uses relatively simple language, although never oversimplified. Its particular strength is in covering a number of methods in a single volume, making it a great reference.’

Alexander Wlodawer, Macromolecular Crystallography Laboratory, National Cancer Institute, Maryland 2014 247 x 174 mm 250pp 12 b/w illus. 77 colour illus. 22 tables 978-1-107-04470-8 Hardback £82.00 / US$134.00 978-1-107-62276-0 Paperback £30.99 / US$51.00 For all formats available, see

www.cambridge.org/9781107044708

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.

Advance praise: ‘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

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 392pp 60 b/w illus. 13 colour illus.

978-1-107-14737-9 Hardback £29.99 / US$44.99 Publication January 2017 For all formats available, see

www.cambridge.org/9781107147379

Also of Interest

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 thoughtprovoking 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

41

Choice Outstanding Academic Title 2015 – Winner 2014 247 x 174 mm 274pp 59 b/w illus. 11 tables 978-1-107-03491-4 Hardback £67.00 / US$103.00 978-1-107-61020-0 Paperback £24.99 / US$35.99 For all formats available, see

www.cambridge.org/9781107034914

Privacy, Big Data, and the Public Good Frameworks for Engagement Edited by Julia Lane American Institutes for Research, Washington DC

Victoria Stodden Columbia University, New York

Stefan Bender Institute for Employment Research of the German Federal Employment Agency

and Helen Nissenbaum New York University

The book discusses access to big data for city, state, and federal government agencies and legal, social science, statistical, and technical communities interested in enabling research on big data. The authors’ goal is to move the conversation to a vision of what frameworks should and could guide data access.

“Big data’ – the collection, aggregation or federation, and analysis of vast amounts of increasingly granular data – present[s] serious challenges not only to personal privacy but also to the tools we use to protect it. Privacy, Big Data, and the Public Good focuses valuable attention on two of these tools: notice and consent, and de-identification – the process of preventing a person’s identity from being linked to specific data. [It] presents a collection of

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

42

Also of Interest

essays from a variety of perspectives, in chapters by some of the heavy hitters in the privacy debate, who make a convincing case that the current framework for dealing with consumer privacy does not adequately address issues posed by big data … As society becomes more ‘datafied’ – a term coined to describe the digital quantification of our existence – our privacy is ever more at risk, especially if we continue to rely on the tools that we employ today to protect it.

[This book] represents a useful and approachable introduction to these important issues.’

Science

Contents: Part I. Conceptual Framework; Part II. Practical Framework; Part III. Statistical Framework.

Choice Outstanding Academic Title 2015 – Winner 2014 228 x 152 mm 344pp 4 b/w illus.

978-1-107-06735-6 Hardback £67.00 / US$103.00 978-1-107-63768-9 Paperback £23.99 / US$35.99 For all formats available, see

www.cambridge.org/9781107067356 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 £47.99 / US$89.99 For all formats available, see

www.cambridge.org/9781107030633

The Emergence of Life From Chemical Origins to Synthetic Biology Second edition Pier Luigi Luisi 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 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

Also of Interest

Contents: Part I. Approaches to the Origin of Life; Part II. What Is Life? The BioLogics 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 £44.99 / US$74.99 For all formats available, see

www.cambridge.org/9781107092396 Textbook

Structural DNA Nanotechnology Nadrian C. Seeman New York University

43

PROSE Award for Biological Science 2016 – Winner 2016 228 x 152 mm 266pp 208 colour illus. 1 table 978-0-521-76448-3 Hardback £39.99 / US$64.99 For all formats available, see

www.cambridge.org/9780521764483 Highlight

The Origin and Nature of Life on Earth The Emergence of the Fourth Geosphere Eric Smith Tokyo Institute of Technology

and Harold J. Morowitz George Mason University, Virginia

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.

Uniting the conceptual foundations of the physical sciences and biology, this groundbreaking multidisciplinary book explores the origin of life as a planetary process. For researchers, professionals entering the field or specialists looking for a coherent overview, this text brings together geochemistry, biochemistry, microbiology and physics, and includes an extensive bibliography.

‘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.’

‘… the most significant book on the origin of life hitherto written.’

Walter Fontana, Harvard University, Massachusetts 2016 247 x 174 mm 691pp 64 colour illus. 4 maps 5 tables 978-1-107-12188-1 Hardback £29.99 / US$49.99 For all formats available, see

www.cambridge.org/9781107121881

Yamuna Krishnan, University of Chicago

Visit our website at www.cambridge.org/academic

44

Also of Interest

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 de-coding his mind, and his family.’

The Guardian

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 £19.99 / US$30.99 For all formats available, see

www.cambridge.org/9781107524224

Truth or Truthiness Distinguishing Fact from Fiction

by Learning to Think Like a Data Scientist Howard Wainer National Board of Medical Examiners, Pennsylvania

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.

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

Andrew Gelman, Columbia University, New York

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$29.99 For all formats available, see

www.cambridge.org/9781107130579

Professional Development

Professional Development

Successful Careers beyond the Lab Edited by David J. Bennett University of 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.

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 312pp 4 b/w illus. 1 table 978-1-107-16105-4 Hardback c. £69.99 / c. US$89.99 978-1-316-61379-5 Paperback c. £27.99 / c. US$34.99 Publication April 2017 For all formats available, see

www.cambridge.org/9781107161054

45

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 2017 228 x 152 mm 232pp 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 Publication February 2017 For all formats available, see

www.cambridge.org/9781107154056

Visit our website at www.cambridge.org/academic

46

Professional Development

Developing a Talent for Science

Funding your Career in Science

Ritsert C. Jansen

From Research Idea to Personal Grant 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 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

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, postdocs, 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 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

Professional Development

The Joy of Science Seven Principles for Scientists Seeking Happiness, Harmony, and Success Roel Snieder Colorado School of Mines

and Jen Schneider Boise State University, Idaho

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.

‘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.’

47

Getting into Graduate School in the Sciences A Step-by-Step Guide for Students S. Kersey Sturdivant INSPIRE Environmental, LLC, Rhode Island

and Noelle J. Relles State University of New York, Cortland

Addressing a lack of practical and evidence-based advice for graduate education in the natural sciences, this complete step-by-step guide will lead students through the application process for both masters and doctoral level graduate degrees. An essential resource for life and earth scientists applying to graduate school in the United States.

2016 228 x 152 mm 175pp 12 b/w illus. 3 tables 978-1-107-42067-0 Paperback £19.99 / US$24.99 For all formats available, see

www.cambridge.org/9781107420670

Julie Smith, Radford College, Canberra and Malcolm Sambridge, Australian National University, Canberra 2016 228 x 152 mm 216pp 34 b/w illus.

978-1-107-14555-9 Hardback £49.99 / US$74.99 978-1-316-50900-5 Paperback £19.99 / US$29.99 For all formats available, see

www.cambridge.org/9781107145559

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