Evolutionary dynamics : the mathematics of genes and traits /
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 evolut...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
IOP Publishing,
[2015]
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Colección: | IOP (Series). Release 2.
IOP expanding physics. |
Temas: | |
Acceso en línea: | Texto completo |
Sumario: | 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. |
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Notas: | "Version: 20150701"--Title page verso. |
Descripción Física: | 1 online resource (various pagings) : illustrations (some color). Also available in print. |
Público: | 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. |
Bibliografía: | Includes bibliographical references. |
ISBN: | 9780750310949 9780750311250 |
ISSN: | 2053-2563 |