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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 69 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 19th 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 July 29th 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. 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 21st 2014 by Chapman and Hall/CRC

  5. 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 21st 2014 by Chapman and Hall/CRC

  6. 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 21st 2014 by Chapman and Hall/CRC

  7. 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 21st 2014 by Chapman and Hall/CRC

  8. 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

  9. 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

Forthcoming Books

  1. Introduction to Mathematical Oncology
    By Yang Kuang, John Nagy
    To Be Published November 15th 2015
  2. Pathway Analysis of High Throughput Experiments
    By Sorin Draghici
    To Be Published January 15th 2016
  3. Big Data Analysis for Bioinformatics and Biomedical Discoveries
    Edited by Shui Qing Ye
    To Be Published January 15th 2016
  4. Computational Genomics, 2nd Edition
    Edited by Srinivas Aluru, Mona Singh
    To Be Published January 26th 2016
  5. Computational Systems Biology, 2nd Edition
    Edited by Srinivas Aluru, Mona Singh
    To Be Published January 26th 2016
  6. Computational Structural Biology, 2nd Edition
    Edited by Srinivas Aluru, Mona Singh
    To Be Published January 26th 2016
  7. Handbook of Computational Biology, Second Edition: Three Volume Set
    Edited by Srinivas Aluru, Mona Singh
    To Be Published January 26th 2016
  8. Geometric Modeling and Mesh Generation from Scanned Images
    By Yongjie Zhang
    To Be Published January 26th 2016
  9. Statistical Modeling and Machine Learning for Molecular Biology
    By Alan Moses
    To Be Published January 26th 2016
  10. An Introduction to Dynamical Systems for Biological Modeling
    By Fred Brauer, Christopher Kribs-Zaleta
    To Be Published February 15th 2016

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