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Chapman & Hall/CRC Mathematical and Computational Biology

Series Editor: Hershel Safer, Xihong Lin, Mona Singh, N. F. Britton, Anna Tramontano, Maria Victoria Schneider

New and Published Books

1-10 of 71 results in Chapman & Hall/CRC Mathematical and Computational Biology
  1. Bayesian Phylogenetics

    Methods, Algorithms, and Applications

    Edited by Ming-Hui Chen, Lynn Kuo, Paul O. Lewis

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology, Bayesian Phylogenetics: Methods,...

    Published May 26th 2014 by Chapman and Hall/CRC

  2. Biomolecular Simulations

    By Jordi Villa i Freixa, Michael A. Johnston

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Biomolecular Simulation presents rigorous descriptions of various biomolecular simulation techniques and sampling methods. Using these techniques, it provides a thorough understanding of the microscopic details underlying how biomolecules work. The book focuses on the concept of free energy and on...

    Published April 20th 2014 by Chapman and Hall/CRC

  3. Bioinformatics for Biologists

    Edited by Rolf Apweiler

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Bioinformatics for Biologists provides comprehensive information about bioinformatics and the most popular molecular biological databases for biologists without strong background in informatics who use biological databases and bioinformatics tools in their work. This book offers an introduction to...

    Published April 20th 2014 by Chapman and Hall/CRC

  4. Modeling Protein Evolution and Its Bioinformatics Applications

    By Richard A. Goldstein, David D. Pollock, William R. Taylor

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    While there are many books available on bioinformatics and on molecular evolution, there are none that adequately address the interaction of these two areas. Filling this gap, this book covers both the fundamentals of evolutionary theory and its application to bioinformatics. It gives readers a...

    Published April 20th 2014 by Chapman and Hall/CRC

  5. Biological Sequence Analysis with Iterative Maps

    By Jonas S. Almeida

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Recent theoretical advances have turned the idea of representing biological sequences in a continuous coordinate space a reality, which sets the stage for a new generation of sequence analysis tools, including iterative maps. This book provides an accessible introduction to the new theory,...

    Published April 20th 2014 by Chapman and Hall/CRC

  6. Managing Your Biological Data with Python

    By Allegra Via, Kristian Rother, Anna Tramontano

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Take Control of Your Data and Use Python with Confidence Requiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to...

    Published March 17th 2014 by Chapman and Hall/CRC

  7. Stochastic Dynamics for Systems Biology

    By Christian Mazza, Michel Benaim

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Stochastic Dynamics for Systems Biology is one of the first books to provide a systematic study of the many stochastic models used in systems biology. The book shows how the mathematical models are used as technical tools for simulating biological processes and how the models lead to conceptual...

    Published March 10th 2014 by Chapman and Hall/CRC

  8. Systems Biology

    Mathematical Modeling and Model Analysis

    By Andreas Kremling

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Drawing on the latest research in the field, Systems Biology: Mathematical Modeling and Model Analysis presents many methods for modeling and analyzing biological systems, in particular cellular systems. It shows how to use predictive mathematical models to acquire and analyze knowledge about...

    Published November 11th 2013 by Chapman and Hall/CRC

  9. Statistical Methods for QTL Mapping

    By Zehua Chen

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL...

    Published October 31st 2013 by Chapman and Hall/CRC