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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 65 results in Chapman & Hall/CRC Mathematical and Computational Biology
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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 23rd 2013 by Chapman and Hall/CRC

  6. 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 26th 2013 by Chapman and Hall/CRC

  7. 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 25th 2013 by Chapman and Hall/CRC

  8. Genome Annotation

    By Jung Soh, Paul M.K. Gordon, Christoph W. Sensen

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and...

    Published August 29th 2012 by Chapman and Hall/CRC

  9. Quantitative Biology

    From Molecular to Cellular Systems

    Edited by Michael E. Wall

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    Quantitative methods are revolutionizing modern molecular and cellular biology. Groundbreaking technical advances are fueling the rapid expansion in our ability to observe, as seen in multidisciplinary studies that integrate theory, computation, experimental assays, and the control of...

    Published August 24th 2012 by CRC Press

  10. Computational Systems Biology of Cancer

    By Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert, Andrei Zinovyev

    Series: Chapman & Hall/CRC Mathematical and Computational Biology

    The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput...

    Published August 24th 2012 by CRC Press