This classroom-tested text provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation, precisely defines the corresponding computational problems, and includes detailed examples to illustrate each algorithm. The text covers basic molecular biology concepts, sequence similarity, the suffix tree, sequence databases, sequence and genome alignment, the phylogenetic tree, genome rearrangement, motif finding, the secondary structure of RNA, peptide sequencing, and population genetics. Supplementary material is provided on the author’s website and a solutions manual is available for qualifying instructors.
• Chapman & Hall/CRC Mathematical & Computational Biology
Bioinformatics
Mathematical Biology
Textbook
Undergraduate

With contributions from leading experts, this volume delves into ubi-media computing on three levels: infrastructures, where fundamental technologies are being developed; middleware, where the integration of technologies and software systems continues to be defined; and applications, where its concepts are evolving into real-world products and processes. It discusses how seamless technologies are changing the way we communicate, learn, and live. It covers new architectures for delivering content, advanced HCI devices that allow simple body gestures to govern complex tasks, and a host of other emerging technologies.
• Chapman & Hall/CRC Studies in Informatics Series
Computer Graphics & Visualization
Computation
Digital & Wireless Communication
Reference
Professional

One of the few up-to-date books available in this important area, Glycome Informatics covers all known informatics methods pertaining to the study of glycans, which provide crucial functional roles in many biological processes. The book supplies all the necessary background information, including glycan classes, motifs, and nomenclature. It offers a complete list of relevant databases and resources on glycobiology and presents a wide range of methods, from computer theory and data mining to glycomics. The author also discusses key points and ideas for potential research projects. Sequence analysis and machine learning methods as well as glycomic technologies are described in the appendices.
• Chapman & Hall/CRC Mathematical & Computational Biology
Bioinformatics
Cell Biology
Reference
Professional

Providing the first focused and detailed treatment of the rapidly emerging field of protein disorder, this book illustrates how IDPs defy the structure-function paradigm and play important regulatory and signaling roles. The author introduces basic terms and fundamental principles of protein science and presents a unified theory of ordered and disordered proteins. He also outlines new applications of traditional biophysical and bioinformatic techniques, such as x-ray crystallography and NMR. The book includes an overview of the structure, function, and evolution of IDPs and addresses biomedical implications and protein disorder in drug development for cancer and neurodegenerative diseases.
•
Systems Biology
Molecular Biology
Bioinformatics
Reference
Professional

This handbook provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics. Along with updating and revising many of the existing chapters, this edition contains four new chapters that cover external memory and parameterized algorithms as well as computational number theory and algorithmic coding theory.
• Chapman & Hall/CRC Applied Algorithms and Data Structures series
Algorithms & Complexity
Computation
Computational Numerical Analysis
Reference
Professional

This handbook provides an up-to-date compendium of fundamental computer science topics, techniques, and applications. Along with updating and revising many of the existing chapters, this second edition contains more than 15 new chapters. This edition now covers self-stabilizing and pricing algorithms as well as the theories of privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives.
• Chapman & Hall/CRC Applied Algorithms and Data Structures series
Algorithms & Complexity
Computation
Computational Numerical Analysis
Reference
Professional

This handbook provides an up-to-date compendium of fundamental computer science topics, techniques, and applications. Along with updating and revising many of the existing chapters, this edition contains more than 20 new chapters. It now covers external memory, parameterized, self-stabilizing, and pricing algorithms as well as the theories of algorithmic coding, privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, computational number theory, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives.
• Chapman & Hall/CRC Applied Algorithms and Data Structures series
Algorithms & Complexity
Computation
Computational Numerical Analysis
Reference
Professional

Presenting effective approaches to address missing data, measurement errors, censoring, and outliers in longitudinal data, this book covers linear, nonlinear, generalized linear, nonparametric, and semiparametric mixed effects models. It links each mixed effects model with the corresponding class of regression model for cross-sectional data and discusses computational strategies for likelihood estimations of mixed effects models. The author briefly describes generalized estimating equations methods and Bayesian mixed effects models and explains how to implement standard models using R and S-Plus. The real-world data examples used throughout encompass studies on mental distress, AIDS, and more.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Statistical Theory & Methods
Statistics for the Biological Sciences
Epidemiology
Reference
Professional

Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book’s website.
• Chapman & Hall/CRC Interdisciplinary Statistics
Biodiversity
Statistics for the Biological Sciences
Statistics
Reference

Ideal for courses on differential equations with applications to mathematical biology or as an introduction to mathematical biology, this best-selling text introduces the fundamental modeling and analytical techniques used to understand biological phenomena. It discusses the modeling of biological behavior, including the heartbeat cycle, chemical reactions, nerve pulses, predator–prey models, and epidemics. This expanded edition includes a new section on spiral waves, recent developments in tumor biology, and additional examples and exercises. It also offers more on the numerical solution of differential equations and numerical bifurcation analysis, providing downloadable MATLAB ® files online.
• Chapman & Hall/CRC Mathematical & Computational Biology
Mathematical Biology
Differential Equations
Applied Mathematics
Textbook
Undergraduate