New and Published Books
1-10 of 56 results in Chapman & Hall/CRC Mathematical and Computational Biology
A Practical Approach
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 17th 2014 by Chapman and Hall/CRC
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 27th 2014 by Chapman and Hall/CRC
Methods, Algorithms, and Applications
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
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
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
Mathematical Modeling and Model Analysis
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
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
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
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
Multiscale Extensions and Biological Applications
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
Introduction to Mathematical Oncology
To Be Published May 15th 2015
Genome Analysis in R
To Be Published June 15th 2015
Rule-Based Modeling in Systems Biology
To Be Published June 15th 2015
Pathway Analysis of High Throughput Experiments
To Be Published June 26th 2015
To Be Published August 15th 2015