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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, Nicola Mulder

New and Published Books

1-10 of 56 results in Chapman & Hall/CRC Mathematical and Computational Biology
  1. RNA-seq Data Analysis

    A Practical Approach

    By Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine...

    Published September 18th 2014 by Chapman and Hall/CRC

  2. Computational and Visualization Techniques for Structural Bioinformatics Using Chimera

    By Forbes J. Burkowski

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    A Step-by-Step Guide to Describing Biomolecular Structure Computational and Visualization Techniques for Structural Bioinformatics Using Chimera shows how to perform computations with Python scripts in the Chimera environment. It focuses on the three core areas needed to study structural...

    Published August 4th 2014 by Chapman and Hall/CRC

  3. 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 27th 2014 by Chapman and Hall/CRC

  4. 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 18th 2014 by Chapman and Hall/CRC

  5. 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 11th 2014 by Chapman and Hall/CRC

  6. 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 12th 2013 by Chapman and Hall/CRC

  7. 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 November 1st 2013 by Chapman and Hall/CRC

  8. Introduction to Biological Networks

    By Alpan Raval, Animesh Ray

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a...

    Published April 24th 2013 by Chapman and Hall/CRC

  9. Game-Theoretical Models in Biology

    By Mark Broom, Jan Rychtar

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Covering the major topics of evolutionary game theory, Game-Theoretical Models in Biology presents both abstract and practical mathematical models of real biological situations. It discusses the static aspects of game theory in a mathematically rigorous way that is appealing to mathematicians. In...

    Published March 27th 2013 by Chapman and Hall/CRC

  10. Cellular Potts Models

    Multiscale Extensions and Biological Applications

    By Marco Scianna, Luigi Preziosi

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    A flexible, cell-level, and lattice-based technique, the cellular Potts model accurately describes the phenomenological mechanisms involved in many biological processes. Cellular Potts Models: Multiscale Extensions and Biological Applications gives an interdisciplinary, accessible treatment of...

    Published March 26th 2013 by Chapman and Hall/CRC

Forthcoming Books

  1. Introduction to Mathematical Oncology
    By Yang Kuang, John Nagy
    To Be Published May 15th 2015
  2. Genome Analysis in R
    By Pawel Michalak
    To Be Published June 15th 2015
  3. Rule-Based Modeling in Systems Biology
    By James Faeder, William S. Hlavacek
    To Be Published June 15th 2015
  4. Pathway Analysis of High Throughput Experiments
    By Sorin Draghici
    To Be Published June 26th 2015
  5. Genome Analysis
    By Cynthia J Gibas, Debra T. Burhans
    To Be Published August 26th 2015

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