Chapman & Hall/CRC Computational Biology Series
About the Book Series
This series aims to capture new developments in computational biology, as well as high-quality work summarizing or contributing to more established topics. Publishing a broad range of reference works, textbooks, and handbooks, the series is designed to appeal to students, researchers, and professionals in all areas of computational biology, including genomics, proteomics, and cancer computational biology, as well as interdisciplinary researchers involved in associated fields, such as bioinformatics and systems biology.
For more information or to submit a book proposal, please contact Elliott Morsia ([email protected]).
Big Data in Omics and Imaging, Two Volume Set
1st Edition
Edited
By Momiao Xiong
June 19, 2018
FEATURES Bridges the gap between the traditional statistical methods and computational tools for small genetic and epigenetic data analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching algorithms for model and ...
Introduction to Proteins: Structure, Function, and Motion, Second Edition
2nd Edition
By Amit Kessel, Nir Ben-Tal
April 11, 2018
Introduction to Proteins provides a comprehensive and state-of-the-art introduction to the structure, function, and motion of proteins for students, faculty, and researchers at all levels. The book covers proteins and enzymes across a wide range of contexts and applications, including medical ...
Gene Expression Studies Using Affymetrix Microarrays
1st Edition
By Hinrich Gohlmann, Willem Talloen
November 03, 2017
The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular ...
Python for Bioinformatics
2nd Edition
By Sebastian Bassi
July 10, 2017
In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of ...
Biological Sequence Analysis Using the SeqAn C++ Library
1st Edition
By Andreas Gogol-Döring, Knut Reinert
June 14, 2017
An Easy-to-Use Research Tool for Algorithm Testing and Development Before the SeqAn project, there was clearly a lack of available implementations in sequence analysis, even for standard tasks. Implementations of needed algorithmic components were either unavailable or hard to access in third-party...
Cancer Systems Biology
1st Edition
Edited
By Edwin Wang
June 14, 2017
The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, ...
Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R
1st Edition
By Gabriel Valiente
June 14, 2017
Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis...
Meta-analysis and Combining Information in Genetics and Genomics
1st Edition
By Rudy Guerra, Darlene R. Goldstein
June 14, 2017
Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-Analysis With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal ...
Statistical Modeling and Machine Learning for Molecular Biology
1st Edition
By Alan Moses
December 15, 2016
Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts ...
RNA-seq Data Analysis: A Practical Approach
1st Edition
By Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
September 19, 2014
The State of the Art in Transcriptome Analysis RNA 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 ...
Computational and Visualization Techniques for Structural Bioinformatics Using Chimera
1st Edition
By Forbes J. Burkowski
July 29, 2014
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 ...
Managing Your Biological Data with Python
1st Edition
By Allegra Via, Kristian Rother, Anna Tramontano
March 18, 2014
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 ...