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

MARC

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264 1 |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :  |b IOP Publishing,  |c [2015] 
300 |a 1 online resource (various pagings) :  |b illustrations (some color). 
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337 |a electronic  |2 isbdmedia 
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490 1 |a IOP expanding physics,  |x 2053-2563 
500 |a "Version: 20150701"--Title page verso. 
504 |a Includes bibliographical references. 
505 0 |a Preface -- Acknowledgements -- 1. Introduction -- 1.1. Of snails and snakes -- 1.2. The three key elements -- 1.3. Stochasticity -- 1.4. Towards a mathematics of evolution -- 1.5. Organization of this book 
505 8 |a 2. Cell biology and molecular genetics -- 2.1. Cellular architecture and proliferation -- 2.2. DNA, RNA and proteins -- 2.3. Metabolism 
505 8 |a 3. Phylogeny and development -- 3.1. Phylogenic trees -- 3.2. Development 
505 8 |a 4. Elementary evolutionary dynamics -- 4.1. Conceptual challenges and the standard assumption -- 4.2. Haploids -- 4.3. Diploids -- 4.4. Projection onto tightly linked clusters of loci -- 4.5. Drift and fixation 
505 8 |a 5. Probability and measurement -- 5.1. Fundamental laws of probability -- 5.2. Random variables and their distributions -- 5.3. Expectation and variance -- 5.4. Common distributions and their properties -- 5.5. Measurement scales 
505 8 |a 6. Statistical inference and estimation -- 6.1. The essential ideas -- 6.2. Justifying the likelihood ratio principle -- 6.3. Linking alleles to traits -- 6.4. Microarrays: the stepping down procedure -- 6.5. Analysis of bivariate data 
505 8 |a 7. Sequence, structure and function -- 7.1. Principles of dynamic programming -- 7.2. Sequence phylogenies -- 7.3. Sequence alignment -- 7.4. Deep structure -- 7.5. From sequence to function 
505 8 |a 8. Analysis of quantitative trait loci -- 8.1. Recombinant distributions -- 8.2. Genetic markers and mapping -- 8.3. The number of quantitative trait loci 
505 8 |a 9. Evolutionary dynamics of QTL -- 9.1. Heritability -- 9.2. Dynamics of the additive genetic component -- 9.3. The persistence of sex 
505 8 |a 10. Adaptive dynamics and speciation -- 10.1. Adaptive dynamics -- 10.2. Fisher's law for adaptive dynamics -- 10.3. Adaptive radiations and mass extinctions 
505 8 |a 11. Traits as objects of selection -- 11.1. Regimenting traits -- 11.2. Scope and limitations of the additive genetic model 
505 8 |a 12. Fitness and optimality -- 12.1. Evolution of protandry in butterflies -- 12.2. Evolution of juvenility -- 12.3. Evolution of homeostasis -- 12.4. Fitness probes 
505 8 |a Appendices. -- A. Species, speciation and systematics -- B. Dangerous ideas -- C. Dynamics -- D. Constrained optimization -- E. Thermal physics. 
520 3 |a 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. 
521 |a 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. 
530 |a Also available in print. 
545 |a 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. 
588 |a Title from PDF title page (viewed on July 1, 2015). 
650 0 |a Evolution (Biology)  |x Mathematical models.  |0 http://id.loc.gov/authorities/subjects/sh2008118585 
650 0 |a Genetics  |x Mathematical models.  |0 http://id.loc.gov/authorities/subjects/sh85053879 
650 7 |a Biophysics.  |2 bicssc 
650 7 |a SCIENCE / Life Sciences / Biophysics.  |2 bisacsh 
650 7 |a Evolution (Biology)  |x Mathematical models.  |2 fast  |0 http://id.worldcat.org/fast/fst00917308  |0 http://id.worldcat.org/fast/917308 
650 7 |a Genetics  |x Mathematical models.  |2 fast  |0 http://id.worldcat.org/fast/fst00940127  |0 http://id.worldcat.org/fast/940127 
700 1 |a Den Berg, Hugo van. 
700 1 |a Van den Berg, Hugo. 
700 1 |a VandenBerg, Hugo. 
710 2 |a Institute of Physics (Great Britain),  |e publisher.  |0 http://id.loc.gov/authorities/names/n80085293  |1 http://viaf.org/viaf/146503044 
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