Evolutionary dynamics : the mathematics of genes and traits /

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Bibliographic Details
Author / Creator:Berg, Hugo van den, 1968- author.
Imprint:Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2015]
Description:1 online resource (various pagings) : illustrations (some color).
Language:English
Series:[IOP release 2]
IOP expanding physics, 2053-2563
IOP (Series). Release 2.
IOP expanding physics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11319890
Hidden Bibliographic Details
Varying Form of Title:Mathematics of genes and traits.
Other authors / contributors:Den Berg, Hugo van.
Van den Berg, Hugo.
VandenBerg, Hugo.
Institute of Physics (Great Britain), publisher.
ISBN:9780750310949
9780750311250
9780750310956
Notes:"Version: 20150701"--Title page verso.
Includes bibliographical references.
Also available in print.
Hugo van den Berg is a lecturer at the University of Warwick's Mathematics Institute where he specialises in mathematical biology and teaches courses in mathematical, quantitative and system biology. His research interests include the applications of mathematical and statistical biology to the dynamics and efficacy of the cellular immune system.
Title from PDF title page (viewed on July 1, 2015).
Summary:Written for researchers and postgraduate students with a background in physics or applied mathematics and a desire to apply their skills to problems in the life sciences, this beautifully illustrated and stimulating book develops an understanding of the gene-to-trait problem in the context of evolutionary dynamics, from the modern perspective of integrative biology. The gene-to-trait problem resides at the heart of a great many questions in biology. The author presents both elementary and advanced material in a way that brings out how this gene-to-trait problem is treated in the contexts of bioinformatics and evolutionary dynamics. Key ideas and techniques that underlie some of the most-used bioinformatics methods are discussed in an integrative context and a wide range of examples of mathematical models of living things is developed in an evolutionary framework.
Target Audience:Advanced students in mathematics, physics and computer science taking courses or starting research in bioinformatics, systems biology and evolutionary dynamics. Established researchers in the same fields.
Other form:Print version: 9780750310956
Standard no.:10.1088/978-0-7503-1094-9