Evolutionary Dynamics
The mathematics of genes and traits
Nonfiction, Science & Nature, Science, Biological Sciences, Biophysics
| Author: | Hugo van den Berg | ISBN: | 9780750310949 |
| Publisher: | Institute of Physics Publishing | Publication: | July 28, 2015 |
| Imprint: | Institute of Physics Publishing | Language: | English |
| Author: | Hugo van den Berg |
| ISBN: | 9780750310949 |
| Publisher: | Institute of Physics Publishing |
| Publication: | July 28, 2015 |
| Imprint: | Institute of Physics Publishing |
| Language: | English |
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.
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.
