New & Notable titles in Bioinformatics and Biomathematics

P r e f e r r e d P u b l i s h e r o f L e a d i n g T h i n k e r s

C o n n e c t i n g G re a t M i n d sC o n n e c t i n g G r e a t M i n d s

New & Notable titles in Bioinformatics and Biomathematics 2015

Medical Statistics and Computer Experiments (2nd Edition)edited by Ji-Qian Fang (Sun Yat-Sen University, P R China)

Review of the First Edition:

“It gives basic guidance on a much broader range of statistical topics than is usually seen in books aimed at non-statisticians ... The ‘Thinking’sections at the end of the chapters, with their solutions, also provide additional good material.”

Pharmaceutical Statistics

Readership: Postgraduate students and researchers in medical, public health and applied statistics.

1016pp Sep 2014978-981-4566-77-3 US$210 £139

Advanced Medical Statistics (2nd Edition)edited by Ying Lu (Stanford), Jiqian Fang (Sun Yat-Sen University, China), Lu Tian (Stanford) & Hua Jin (South China Normal University, China)


“Overall the book covers a wide variety of applications. Each method is presented in sufficient depth to allow the reader to understand when the method(s) can be used ... this book would be a useful resource for any practitioner in medical research.”

Statistical Methods in Medical Research

Readership : Bios ta t i s t ic ians , appl ied statisticians, medical researchers and clinicians, biopharmaceutical researchers, public health epidemiologists, biometricians and applied mathematicians.

1472pp Aug 2015978-981-4583-29-9 US$200 £132

Analysis of Biological Systemsby Corrado Priami & Melissa J Morine (University of Trento, Italy)

Analysis of Biological Systems collects classical material on analysis, modeling and simulation, thereby acting as a unique point of reference. The joint application of statistical techniques to extract knowledge from big data and map it into mechanistic models is a current challenge of the field, and the reader will learn how to build and use models even if they have no computing or math background. An in-depth analysis of the currently available technologies, and a comparison between them, is also included. Unlike other reference books, this in-depth analysis is extended even to the field of language-based modeling. The overall result is an indispensable, self-contained and systematic approach to a rapidly expanding field of science.

Readership: Graduate students and practitioners in systems biology who want to understand algorithmic modeling and algorithmic systems biology.

432pp Mar 2015978-1-78326-687-6 US$148 £98

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ICP Textbooks in Biomolecular Sciences Introduction to Systems BiologyMathematical and Computational Modeling of the Cellby Zoltan Neufeld (University of Queensland, Australia)

This book is a comprehensive guide to applications of mathematical and computational approaches to cell biology. It provides an accessible entry route into this interdisciplinary field for students and researchers from various specialized backgrounds in biology, mathematics, physics, engineering or computer science. It gives a balanced presentation of the methodology (differential equations, dynamical systems analysis, stochastic processes, networks and optimization) and new, emerging modeling approaches, illustrated through a structured collection of case studies in which the use of mathematical and computational methods combined with experiments leads to new insights into the biological phenomena.

Readership: Students and researchers in the fields of biology, mathematics, physics, engineering or computer science.

300pp Dec 2016978-1-84816-901-2 US$78 £51

Practical Population GeneticsGenetic Data Analysis for the Evolutionary Biologistby Mark Beaumont (University of Bristol, UK)

There is substantial interest in the application of different statistical methods to model and understand population genetic data. This book aims to fill the vacant niche in books dealing with the application of methods imported from computational statistics that have become very popular in the last ten years in population genetic analysis.

An introductory background on evolutionary theory is provided, complete with examples and thought-provoking questions that will enable the readers to explore the current data in this field. This text also guides the reader to understand the type of questions that can be answered by particular data sets, urging readers to discover the power that resides in this very data that can answer their questions, and warning them of the potential pitfalls. At the same time, the book provides practical information on the application of popular software packages. Readers are invited to download example data sets in search of real data on the web.

Readership: Advanced undergraduates, postgraduates, academics and researchers.

300pp Aug 2016978-1-84816-867-1 US$105 £69

Series on Advances in Bioinformatics and Computational Biology - Vol 10Essential Computing Skills for Biologistsby Fenglou Mao, Xizeng Mao (University of Georgia, USA), Yanbin Yin & Mitrick Johns (Northern Illinois University, USA)

This book presents the most important skills for anyone who wants to do quantitative analysis on biological data, especially for high-throughput omics data. Three topics are covered in this book: (1) Essential knowledge and skills necessary to use a Linux computer; (2) Write programs in Perl, and the use of BioPerl to write bioinformatics Perl programs; (3) Write programs in R, and the use of R to analyze data and generate pictures.

Readership: Senior undergraduate students, graduate students and scientists in Bioinformatics, Computational Biology and related disciplines such as Biology, Computer Science, Mathematics, Physics, Statistics and Chemistry.

400pp May 2016978-1-84816-924-1 US$88 £58

ICP Textbooks in Biomolecular Sciences An Advanced Textbook on Genomic and Proteomic Sciencesby Charlie Hodgman, Chungui Lu (University of Nottingham, UK) & Sandra Kirk (Nottingham Trent University, UK)

This book aims to equip readers with modern molecular biology concepts and techniques including genomics, transcriptomics, proteomics, bioinformatics, metabolomics and systems biology. It will provide students, researchers and lecturers with a core understanding of a newly emerging field that is of relevance to the industrial/academic arenas. As a result, they can create insightful and inventive solutions to common problems, and describe and explore the current field of post-genomic (‘ omics’ ) technologies.

Readership: Those with experience or qualifications from a variety of backgrounds, e.g. biology, chemistry, physics, computer science, mathematics or medical disciplines; readers need to have at least a minimal understanding of ‘ Omics’ .

200pp May 2016978-1-84816-786-5 US$99 £64

Series on Concrete and Applicable Mathematics Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomedical Systems(2nd Edition)by Wai-Yuan Tan (University of Memphis, USA)

Review from the First Edition:

“Its strengths include the large number of models described, many of which have previously been published only in research journals; its clear presentation of many detailed analyses; and good accounts of the biology behind the models.”

Mathematical Reviews

This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. It illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, AIDS epidemiology and other biomedical systems.

Readership: Graduate students and researchers in probability & statistics and the life sciences.

600pp Feb 2016978-981-4390-94-1 US$138 £91

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WORLD SCIENTIFIC ~ IMPERIAL COLLEGE PRESS

Dynamics of CancerMathematical Foundations of Oncologyby Dominik Wodarz & Natalia L Komarova (UC Irvine)

The book aims to provide an introduction to mathematical models that descr ibe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a textbook for advanced undergraduate or graduate courses, and also serves as a reference book for researchers. The book has a strong evolutionary component and reflects the viewpoint that cancer can be understood rationally through a combination of mathematical and biological tools.

Readership: Researchers in mathematical biology, mathematical modeling, biology, mathematical oncology.

532pp Jul 2014978-981-4566-36-0 US$148 £98

Science, Engineering, and Biology Informatics - Vol 8Biological Data Mining and Its Applications in Healthcareedited by Xiaoli Li (A*STAR, Singapore & NTU, Singapore), See-Kiong Ng (A*STAR, Singapore) & Jason T L Wang (New Jersey Institute of Technology , USA)

This book wil l cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.

Readership: Students, professionals, those who perform biological, medical and bioinformatics research.

436pp Jan 2014978-981-4551-00-7 US$138 £91

Bestselling Titles

Computational NeuroanatomyThe Methodsby Moo K Chung (University of Wisconsin-Madison, USA)

Computational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.

Readership: Researchers and graduate students in the fields of computational neuroscience and brain imaging, medical image analysis and pattern recognition.

420pp Nov 2012978-981-4335-43-0 US$135 £89

Information Theory and Evolution (2nd Edition)by John Scales Avery (University of Copenhagen, Denmark)

Information Theory and Evolution discusses the phenomenon of life, including its origin and evolution (and also human cultural evolution), against the background of thermodynamics, statistical mechanics, and information theory. The new edition discusses current research on the origin of life, the distinction between thermodynamic information and cybernetic information, new DNA research and human prehistory, developments in current information technology, and the relationship between entropy and economics.

Readership: Students, professionals, and all readers with scientific or engineering training regardless of field.

276pp Jul 2012978-981-4401-22-7 US$84 £55978-981-4401-23-4(pbk) US$48 £32

Expect the UnexpectedA First Course in Biostatisticsby Raluca Balan & Gilles Lamothe (University of Ottawa, Canada)

Review from the First Edition:

“The book is self-contained, easy to read, and the presentation style is exact and concise, colorful examples lighten up the dry topic of statistics to the inexperienced reader. I warmly recommend this book to the target readership as a first introduction into the field.”

Biometrical Journal

Readership: Undergraduates studying probability and statistics, especially in the life and natural sciences.

252pp Apr 2011978-981-4291-32-3 US$60 £39

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Science, Engineering, and Biology Informatics - Vol 7Advances in Genomic Sequence Analysis and Pattern Discoveryedited by Laura Elnitski (National Human Genome Research Institute, USA), Helen Piontkivska (Kent State University, USA) & Lonnie R Welch (Ohio University, USA)

Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.

Readership: Those who perform biological, medical and bioinformatics research.

236pp Jan 2011978-981-4327-72-5 US$98 £65

Population Biology and CriticalityFrom Critical Birth-Death Processes to Self-Organized Criticality in Mutation Pathogen Systemsby Nico Stollenwerk (Universidade de Lisboa, Portugal) & Vincent Jansen (Royal Holloway, University of London)

The present book describes novel theories of mutation pathogen systems showing critical fluctuations, as a paradigmatic example of an application of the mathematics of critical phenomena to the life sciences. It will enable the reader to understand the implications and future impact of these findings, yet at same time allow him to actively follow the mathematical tools and scientific origins of critical phenomena. This book also seeks to pave the way to further fruitful applications of the mathematics of critical phenomena in other fields of the life sciences.

Readership: Academics in the field of biology, medicine and physics (cross-disciplinary) interested in stochasticity in biological and medical systems, in relation to public health, evolutionary biology and microbiology.

236pp Nov 2010978-1-84816-401-7 US$110 £73

Computational EcologyArtificial Neural Networks and Their Applicationsby WenJun Zhang (Sun Yat-Sen University, China & International Academy of Ecology and Environmental Sciences)

As these networks are increasingly being used in ecology for modeling, simulation, function approximation, prediction, classification and data mining, this unique and self-contained book will be the first comprehensive treatment of this subject, by providing readers with overall and in-depth knowledge on algorithms, programs, and applications of ANNs in ecology. Moreover, a new area of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed.

Readership: Research scientists, university teachers, graduate students and high-level undergraduates in the area of ecology, environmental sciences and computational science.

312pp Jun 2010978-981-4282-62-8 US$108 £71

Protein-Protein ComplexesAnalysis, Modeling and Drug Designedited by Martin Zacharias (Technische Universität München, Germany)

This book focuses on what can be learned about protein – protein interactions from the analysis of protein – protein complex structures and interfaces. What are the driving forces for protein – protein association? How can we extract the mechanism of specific recognition from studying protein – protein interfaces? How can this knowledge be used to predict and design protein – protein interactions (interaction regions and complex structures)? What methods are currently employed to design protein – protein interactions, and how can we influence protein – protein interactions by mutagenesis and small-molecule drugs or peptide mimetics?

Readership: Graduate students and researchers in bioinformatics and computational biology.

400pp May 2010978-1-84816-338-6 US$141 £93978-1-84816-339-3(pbk) US$82 £54

Science, Engineering, and Biology Informatics - Vol 4Machine Learning Approaches to Bioinformaticsby Zheng Rong Yang (University of Exeter, UK)

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research.

Readership: Final-year undergraduate students, master students, PhD students and researchers in bioinformatics.

336pp May 2010978-981-4287-30-2 US$113 £75

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Statistical and Evolutionary Analysis of Biological Networksedited by Michael P H Stumpf (Imperial College London, UK) & Carsten Wiuf (Aarhus University, Denmark)

This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material.

Readership: Academics, researchers, postgraduates and advanced undergraduates in bioinformatics. Biologists, mathematicians/statisticians, physicists and computer scientists.

180pp Jan 2010978-1-84816-433-8 US$98 £64

Frontiers of Statistics - Vol 1New Developments in Biostatistics and Bioinformaticsedited by Jianqing Fan (Princeton University, USA), Xihong Lin & Jun S Liu (Harvard University, USA)

This book presents an overview of recent developments in biostatistics and bioinformatics. Written by active researchers in these emerging areas, it is intended to give graduate students and new researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use, so that they can advance the fields via developing new techniques and new results. Extensive references are provided so that researchers can follow the threads to learn more comprehensively what the literature is and to conduct their own research. In particulars, the book covers three important and rapidly advancing topics in biostatistics: analysis of survival and longitudinal data, statistical methods for epidemiology, and bioinformatics.

Readership: Graduate students in statistics and biostatistics; researchers in biomedical studies.

300pp Apr 2009978-981-283-743-1 US$112 £74

Series on Advances in Mathematics for Applied Sciences - Vol 79From Genetics to Mathematicsedited by Mirosław Lachowicz & Jacek Miekisz (University of Warsaw, Poland)

This volume contains pedagogical and elementary introductions to genetics for mathematicians and physicists as well as to mathematical models and techniques of population dynamics. It also offers a physicist’s perspective on modeling biological processes. Each chapter starts with an overview followed by the recent results obtained by authors.

Readership: Researchers and graduate students in computational mathematics and mathematical modeling of biological processes.

244pp Jun 2009978-981-283-724-0 US$108 £71

Computational Modeling of Gene Regulatory Networks — A Primerby Hamid Bolouri

This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning.

Readership: Undergraduate- and graduate-level experimental biology students and researchers and practicing biologists; computational biology students and researchers; students and researchers in bioengineering.

340pp Sep 2008978-1-84816-220-4 US$68 £45978-1-84816-221-1(pbk) US$45 £30

Computational Structural BiologyMethods and Applicationsedited by Torsten Schwede (Swiss Institute of Bioinformatics & Biozentrum University of Basel, Switzerland) & Manuel C Peitsch (Novartis Institutes of BioMedical Research, Switzerland)

“... PhD students will find chapters in their area extremely helpful in getting a concise overview of the state of play of their field, references to key reviews and the challenges that lie ahead. Finally, post-docs and professors will be able to explore tangential areas of their immediate research and get a firm grasp of the larger field by having such a broad spectrum of material presented that is well written and up-to-date.”

Crystallography Reviews

Readership: Academics, industry scientists in bioinformatics/ computational biology/ biocomputing/ proteomics/ systems biology, cell/ molecular/ structural biology, and pharmacology/ drug discovery/ pharmaceuticals.

792pp May 2008978-981-277-877-2 US$222 £146

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Complex Systems and Interdisciplinary Science - Vol 3Biological Networksedited by François Képès (CNRS & University of Evry, France)

This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex systems approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.

Readership: Graduate students and industry experts in systems biology and complex systems; biologists; chemists; physicists; mathematicians; computer scientists.

532pp Dec 2007978-981-270-695-9 US$224 £148

Computational Biology of CancerLecture Notes and Mathematical Modelingby Dominik Wodarz & Natalia Komarova (University of California, Irvine, USA)

“This book adds aspects not covered by other books and, therefore, represents a valuable addition to the literature about mathematical models in cancer biology.”

Zentralblatt MATH

The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology.

Readership: Researchers and academics in bioinformatics, biocomputing, biomathematics, cell/molecular biology and cancer biology, as well as clinicians.

264pp Jan 2005978-981-256-027-8 US$102 £67

RELATED TITLES

World Scientific Series in 20th Century Mathematics Fields Medallists’Lectures (3rd Edition)edited by Sir Michael Atiyah (University of Edinburgh, UK), Daniel Iagolnitzer (CEA-Saclay, France) & Chitat Chong (NUS, Singapore)


“The essays have an intrinsic interest as the writers have participated in mathematics at the highest level. They reinforce the impression of an essential unity in the subject in spite of a seeming diversity in research activities.”

SIAM Review

Readership: Mathematicians and mathematical physicists.

1000pp Oct 2015978-981-4696-17-3 US$96 £63978-981-4696-18-0(pbk) US$58 £38

MatricesAlgebra, Analysis and Applicationsby Shmuel Friedland (University of Illinois at Chicago, USA)

This volume deals with advanced topics in matrix theory using the notions and tools from algebra, analysis, geometry, and numerical analysis. It consists of seven chapters that are loosely connected. The very personal choice of topics reflects the subjects that the author was actively working on in the last 40 years. Many results appear for the first time in the volume. Readers will encounter various properties of matrices with entries in integral domains, canonical forms for similarity, and notions of analytic, pointwise and rational similarity of matrices with entries which are locally analytic functions in one variable.

Readership: Graduate students, researchers in mathematics, applied mathematics, statistics, computer science, bioinformatics, engineering, and physics.

490pp Oct 2015978-981-4667-96-8 US$138 £91

Trends in Abstract and Applied Analysis - Vol 1Multiple Solutions of Boundary Value ProblemsA Variational Approachby John R Graef & Lingju Kong (The University of Tennessee at Chattanooga, USA)

In this monograph, we look at how variational methods can be used in all these settings. In our first chapter, we gather the basic notions and fundamental theorems that will be applied in the remainder of this monograph. While many of these items are easily available in the literature, we gather them here both for the convenience of the reader and for the purpose of making this volume somewhat self-contained. Subsequent chapters deal with the Sturm – Liouville problems, multi-point boundary value problems, problems with impulses, partial differential equations, and difference equations.

Readership: Graduate students and researchers interested in applying variational methods to a variety of boundary value problems.

292pp Oct 2015978-981-4696-54-8 US$88 £58

History and Philosophy of Biologyby Robert Kretsinger (University of Virginia, USA)

History and Philosophy of Biology summarizes the major philosophical ideas that have attended the development of science in general and of biology in particular. The book then explores how the techniques and the concepts of the physical sciences have impacted biology. A reductionist approach to biology — anatomy, physiology, genetics — complements the study of evolution by natural selection and an ecological perspective. The final section of the book explores several examples of the influence of science on society, and of society on science.

Readership: Advanced undergraduates in life sciences; graduate students; interested lay public.

364pp Jun 2015978-981-4635-03-5 US$98 £65978-981-4635-04-2(pbk) US$58 £38

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Atlas of Physarum Computingedited by Andrew Adamatzky (University of the West of England, UK)

Every photograph or micrograph in this book is of real scientific, theoretical or technological interest. Each entry includes a self-contained description of how the visualised phenomenon is used in the relevant slime mould computer.

This atlas is unique in providing the depth and breadth of knowledge in harnessing behaviour of the slime mould to perform computation. It will help readers to understand how exploitation of biological processes has sparked new ideas and spurred progress in many fields of science and engineering.

Readership: Students and researchers interested in biological processes and computing.

128pp May 2015978-981-4675-31-4 US$75 £50

World Scientific Series in Information Studies - Vol 4An Information Approach to Mitochondrial DysfunctionExtending Swerdlow’s Hypothesisby Rodrick Wallace (Columbia University, USA)

The monograph applies sophisticated topological symmetry tools to biological applications of information theory, along with a Black – Scholes model invocation of the Data Rate Theorem which links information and control theories. The focus is on statistical mechanics and other models that explore pathological phase transitions — driven by changes in available rates of mitochondrial free energy — in physiological functions, a cutting-edge topic in the study of chronic disease. One of the key focuses is Alzheimer’s disease — a relatively simple canonical example.

Readership: Graduate students and researchers interested in biological applications of information theory.

164pp Apr 2015978-981-4663-50-2 US$58 £38

Big Practical Guide to Computer Simulations (2nd Edition)by Alexander K Hartmann (University of Oldenburg, Germany)

“This unique book is a must-have for any student attempting first steps in computer simulations. Any new student joining my computational physics group is expected to first work through Hartmann’s guide before starting a research project.”

Helmut Katzgraber, Associate Professor Texas A&M University

Readership: Advanced undergraduate and graduate students in biology, chemistry, computer science, engineering or physics. Also experienced researchers in these fields who start with computer simulations.

484pp Apr 2015978-981-4571-76-0 US$108 £71978-981-4571-77-7(pbk) US$62 £41

Chaos, Information Processing and Paradoxical GamesThe Legacy of John S Nicolisedited by Gregoire Nicolis & Vasileios Basios (University of Brussels, Belgium)

This volume provides a self-contained survey of the mechanisms presiding information processing and communication. The main thesis is that chaos and complexity are the basic ingredients allowing systems composed of interesting subunits to generate and process information and communicate in a meaningful way. Emphasis is placed on communication in the form of games and on the related issue of decision making under conditions of uncertainty. Biological, cognitive, physical, engineering and societal systems are approached from a unifying point of view, both analytically and by numerical simulation, using the methods of nonlinear dynamics and probability theory.

Readership: Graduate students, researchers, and academics interested in chaos and complexity science.

476pp Mar 2015978-981-4602-12-9 US$148 £98

Nonlinear Mixture ModelsA Bayesian Approachby Tatiana Tatarinova & Alan Schumitzky (University of Southern California, USA)

This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.

Readership: Graduate students and researchers in bioinformatics, mathematical biology, probability and statistics, mathematical modeling, and pharmacokinetics.

296pp Mar 2015978-1-84816-756-8 US$108 £71

Advanced Series on Statistical Science and Applied Probability - Vol 20Spatial Branching in Random Environments and with Interactionby János Engländer (University of Colorado Boulder, USA)

This unique volume discusses some recent developments in the theory of spatial branching processes and superprocesses, with special emphasis on spines, Laws of Large Numbers, interactions and random media. Although this book is mainly written for mathematicians, the models discussed are relevant to certain models in population biology, and are thus hopefully interesting to the applied mathematician/biologist as well. The necessary background material in probability and analysis is provided in a comprehensive introductory chapter. Historical notes and several exercises are provided to complement each chapter.

Readership: Researchers and advanced graduate students in probability, statistics and mathematical biology.

288pp Jan 2015978-981-4569-83-5 US$78 £51

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BIOMAT 2014Proceedings of the International Symposium on Mathematical and Computational BiologyInternational Symposium on Mathematical and Computational BiologyPoznan, Poland, 3 – 7 November 2014edited by Rubem P Mondaini (Federal University of Rio de Janeiro, Brazil)

This is a book of a series on interdisciplinary topics on the Mathematical and Biological Sciences. The chapters correspond to selected papers on special research themes, w h i c h h a v e b e e n presented at BIOMAT 2014 In t e rna t i ona l S y m p o s i u m o n Mathematical and Computational Biology which was held in the Stefan Banach International Mathematical Centre at Bedlewo near Poznan, Poland on November 03 – 07, 2014.

Readership: Undergraduates, graduates, researchers and all practitioners on the interdisciplinary fields of Mathematical Biology, Biological Physics and Mathematical Modelling of Biosystems.

408pp Aug 2015978-981-4667-93-7 US$148 £98

Biocomputing 2015Proceedings of the Pacific SymposiumKohala Coast, Hawaii, USA, 4 – 8 January 2015edited by Russ B Altman (Stanford), A Keith Dunker (Indiana University, USA), Lawrence Hunter (University of Colorado Health Sciences Center, USA), Marylyn D Ritchie (The Pennsylvania State University, USA), Tiffany A Murray & Teri E Klein (Stanford)

PSB 2015 will bring together top researchers from the US, the Asian Paci f ic nat ions, and around the world to e x c h a n g e r e s e a r c h results and address open issues in all aspects of computational biology. I t is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.

Readership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.

516pp Feb 2015978-981-4644-72-3 US$188 £124

BIOMAT 2013Proceedings of the International Symposium on Mathematical and Computational BiologyInternational Symposium on Mathematical and Computational BiologyToronto, Ontario, Canada, 4 – 8 November 2013edited by Rubem P Mondaini (Federal University of Rio de Janeiro, Brazil)

This is a book of a series on interdisciplinary topics on the Biological and Mathematical Sciences. The chapters correspond to selected papers on special research themes, w h i c h h a v e b e e n presented at BIOMAT 2 0 1 3 I n t e r n a t i o n a l S y m p o s i u m o n Mathematical and Computational Biology which was held in the Fields Institute for Research in Mathematical Sciences, Toronto, Ontario, Canada, on November 04 – 08, 2013.

Readership: Undergraduates, graduates, researchers and all practitioners on the interdisciplinary fields of Mathematical Biology, Biological Physics and Mathematical Modelling of Biosystems.

428pp May 2014978-981-4602-21-1 US$148 £98

Journal of Bioinformatics and Computational Biologyhttp://www.worldscientific.com/worldscinet/jbcb

10 years for the journal of bioinformatics and computational biology (2003–2013) — A retrospectiveFrank Eisenhaber and Westley Arthur ShermanVol. 12, No. 03, 1471001 (2014), DOI: 10.1142/S0219720014710012

An Introduction to Some New Results In Bioinformatics And Computational BiologyLimsoon WongVol. 11, No. 02, 1301001 (2013), DOI: 10.1142/S0219720013010014

Introduction to the CSBio2014 special issueXiao-Li Li, Jie ZhengVol. 13, No. 03, 1502002 (2015), DOI: 10.1142/S0219720015020023

International Journal of Biomathematicshttp://www.worldscientific.com/worldscinet/ijb

Highly Cited Articles published in 2014:

Heat and Mass Transfer Effects On Carreau Fluid Model For Blood Flow Through A Tapered Artery With A StenosisNOREEN SHER AKBARVol. 07, No. 01, 1450004 (2014), DOI: 10.1142/S1793524514500041

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