Information Theory and Molecular Biology

Information Theory and Molecular Biology
Author: Hubert P. Yockey
Publisher: Cambridge University Press
Total Pages: 408
Release: 1992
Genre: Science
ISBN: 9780521359030

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Dr. Yockey presents an introduction to the use of information theory in molecular biology. The book lends to molecular biology a well-developed mathematical foundation and provides mathematical definitions for the vocabulary with which basic questions in molecular biology are debated: information, complexity, order, uncertainty, randomness, and similarity.


Information Theory and Molecular Biology
Language: en
Pages: 408
Authors: Hubert P. Yockey
Categories: Science
Type: BOOK - Published: 1992 - Publisher: Cambridge University Press

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Dr. Yockey presents an introduction to the use of information theory in molecular biology. The book lends to molecular biology a well-developed mathematical fou
Information Theory, Evolution, and the Origin of Life
Language: en
Pages: 276
Authors: Hubert P. Yockey
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2005-04-18 - Publisher: Cambridge University Press

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Information Theory of Molecular Systems
Language: en
Pages: 463
Authors: Roman F Nalewajski
Categories: Science
Type: BOOK - Published: 2006-03-31 - Publisher: Elsevier

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As well as providing a unified outlook on physics, Information Theory (IT) has numerous applications in chemistry and biology owing to its ability to provide a
Information Theory And Evolution (Third Edition)
Language: en
Pages: 329
Authors: John Scales Avery
Categories: Science
Type: BOOK - Published: 2021-11-24 - Publisher: World Scientific

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This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical m
The Evolution of Biological Information
Language: en
Pages: 585
Authors: Christoph Adami
Categories: Science
Type: BOOK - Published: 2024-01-16 - Publisher: Princeton University Press

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Why information is the unifying principle that allows us to understand the evolution of complexity in nature More than 150 years after Darwin’s revolutionary