BOOK SERIES


Chapman & Hall/CRC Mathematical and Computational Biology


About the Series

This series aims to capture new developments and summarize what is known over the entire spectrum of mathematical and computational biology and medicine. It seeks to encourage the integration of mathematical, statistical, and computational methods into biology by publishing a broad range of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students, researchers, and professionals in the mathematical, statistical, and computational sciences and fundamental biology and bioengineering, as well as interdisciplinary researchers involved in the field. The inclusion of concrete examples and applications and programming techniques and examples is highly encouraged.

64 Series Titles

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Computational Exome and Genome Analysis

Computational Exome and Genome Analysis

Forthcoming

Peter N. Robinson, Rosario Michael Piro, Marten Jager
September 05, 2017

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. This book provides a practical introduction to all of the major areas in the field,...

Mathematical Models of Plant-Herbivore Interactions

Mathematical Models of Plant-Herbivore Interactions

Forthcoming

Zhilan Feng, Donald DeAngelis
September 04, 2017

Mathematical Models of Plant-Herbivore Interactions addresses mathematical models in the study of practical questions in ecology, particularly factors that affect herbivory, including plant defense, herbivore natural enemies, and adaptive herbivory, as well as the effects of these on plant...

Python for Bioinformatics, Second Edition

Python for Bioinformatics, Second Edition

Forthcoming

Sebastian Bassi
August 11, 2017

In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of...

Gene Expression Studies Using Affymetrix Microarrays

Gene Expression Studies Using Affymetrix Microarrays

Forthcoming

Hinrich Gohlmann, Willem Talloen
June 30, 2017

The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular...

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Forthcoming

Gabriel Valiente
June 30, 2017

Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis...

Meta-analysis and Combining Information in Genetics and Genomics

Meta-analysis and Combining Information in Genetics and Genomics

Forthcoming

Rudy Guerra, Darlene R. Goldstein
June 30, 2017

Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-Analysis With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal...

Biological Sequence Analysis Using the SeqAn C++ Library

Biological Sequence Analysis Using the SeqAn C++ Library

Forthcoming

Andreas Gogol-Döring, Knut Reinert
June 30, 2017

An Easy-to-Use Research Tool for Algorithm Testing and Development Before the SeqAn project, there was clearly a lack of available implementations in sequence analysis, even for standard tasks. Implementations of needed algorithmic components were either unavailable or hard to access in third-party...

An Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes

An Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes

Forthcoming

Vittorio Cristini, Eugene Koay, Zhihui Wang
June 09, 2017

Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally...

Chromatin: Structure, Dynamics, Regulation

Chromatin: Structure, Dynamics, Regulation

Forthcoming

Ralf Blossey
June 08, 2017

An invaluable resource for computational biologists and researchers from other fields seeking an introduction to the topic, Chromatin: Structure, Dynamics, Regulation offers comprehensive coverage of this dynamic interdisciplinary field, from the basics to the latest research. Computational methods...

Algorithms for Next-Generation Sequencing

Algorithms for Next-Generation Sequencing

Wing-Kin Sung
May 24, 2017

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for...

Statistical Modeling and Machine Learning for Molecular Biology

Statistical Modeling and Machine Learning for Molecular Biology

Alan Moses
January 04, 2017

Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts...

Introduction to Mathematical Oncology

Introduction to Mathematical Oncology

Yang Kuang, John D. Nagy, Steffen E. Eikenberry
February 18, 2016

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and...

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