Catalog Search Results
Author
Publisher
Chapman and Hall/CRC
Pub. Date
2011.
Physical Desc
1 online resource : illustrations
Language
English
Description
The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how...
Author
Publisher
CRC Press
Pub. Date
©2012
Edition
2nd ed.
Physical Desc
1 online resource (xlviii, 1042 pages) : illustrations (chiefly color
Language
English
Description
"Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how...
Author
Publisher
CRC Press/Taylor & Francis Group
Pub. Date
[2012]
Edition
Second edition.
Physical Desc
1 online resource (xxvii, 330 pages) : illustrations
Language
English
Description
"Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of 'likelihood-free' methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first...
Author
Series
Publisher
Chapman and Hall/CRC
Pub. Date
2013.
Edition
1st edition.
Physical Desc
1 online resource (301 pages).
Language
English
Description
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 these models, from the original methodologies to the la.
Author
Publisher
CRC Press
Pub. Date
©2013
Physical Desc
1 online resource (xiii, 312 pages) : illustrations.
Language
English
Description
"Preface In the 1940s and 1950s, biology was transformed by physicists and physical chemists, who employed simple yet powerful concepts and engaged the powers of genetics to infer mechanisms of biological processes. The biological sciences borrowed from the physical sciences the notion of building intuitive, testable, and physically realistic models by reducing the complexity of biological systems to the components essential for studying the problem...
Author
Publisher
CRC Press
Pub. Date
2014.
Physical Desc
1 online resource
Language
English
Description
"This book emphasizes computer programs that analyze protein structural data with program output generating data files and visual feedback in the form of a molecular display. The theoretical part of the text considers both the mathematical models related to molecular structure and the computational strategies that work with these models to derive results. The practical part of the text presents UCSF Chimera as a "workbench" that provides a Python...
Author
Publisher
Chapman & Hall/CRC
Pub. Date
2014.
Physical Desc
1 online resource (1 volume)
Language
English
Description
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 differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes. Balanced Coverage of Theory...
Author
Publisher
Chapman and Hall/CRC
Pub. Date
2018
Edition
3rd ed.
Physical Desc
1 online resource (405 pages)
Language
English
Description
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included...
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