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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.

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Introduction to Proteins: Structure, Function, and Motion, Second Edition

Introduction to Proteins: Structure, Function, and Motion, Second Edition

Forthcoming

Amit Kessel, Nir Ben-Tal
February 20, 2018

Introduction to Proteins shows how proteins can be analyzed in multiple ways. It refers to the roles of proteins and enzymes in diverse contexts and everyday applications, including medical disorders, drugs, toxins, chemical warfare, and animal behavior. This edition includes a brand-new chapter...

Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis

Forthcoming

Momiao Xiong
December 09, 2017

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically...

Gene Expression Studies Using Affymetrix Microarrays

Gene Expression Studies Using Affymetrix Microarrays

Forthcoming

Hinrich Gohlmann, Willem Talloen
November 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...

Computational Exome and Genome Analysis

Computational Exome and Genome Analysis

Peter N. Robinson, Rosario Michael Piro, Marten Jager
September 11, 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. Computational Exome and Genome Analysis provides a practical introduction to all of...

Mathematical Models of Plant-Herbivore Interactions

Mathematical Models of Plant-Herbivore Interactions

Zhilan Feng, Donald DeAngelis
August 16, 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...

Chromatin: Structure, Dynamics, Regulation

Chromatin: Structure, Dynamics, Regulation

Ralf Blossey
July 21, 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...

Python for Bioinformatics, Second Edition

Python for Bioinformatics, Second Edition

Sebastian Bassi
July 10, 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...

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

Vittorio Cristini, Eugene Koay, Zhihui Wang
July 06, 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...

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Gabriel Valiente
June 14, 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...

Cancer Systems Biology

Cancer Systems Biology

Edwin Wang
June 14, 2017

The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis,...

Meta-analysis and Combining Information in Genetics and Genomics

Meta-analysis and Combining Information in Genetics and Genomics

Rudy Guerra, Darlene R. Goldstein
June 14, 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

Andreas Gogol-Döring, Knut Reinert
June 14, 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...

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