Evolutionary Analysis


Evolutionary Analysis pdf

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Evolutionary Analysis


Evolutionary Analysis

Author: Scott Freeman

language: en

Publisher:

Release Date: 2001


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Designed to help readers learn how to "think" like evolutionary biologists, this 4-color book approaches evolutionary biology as a dynamic field of inquiry and as a "process." Using a theme-based approach, it illustrates the interplay between theory, observation, testing and interpretation. It offers commentary on strengths and weaknesses of data sets, gives detailed examples rather than a broad synoptic approach, includes many data graphics and boxes regarding both sides of controversies. Introduces each major organizing theme in evolution through a question--e.g., How has HIV become drug resistant? Why did the dinosaurs, after dominating the land vertebrates for 150 million years, suddenly go extinct? Are humans more closely related to gorillas or to chimpanzees? Focuses on many applied, reader-relevant topics--e.g., evolution and human health, the evolution of senescence, sexual selection, social behavior, eugenics, and biodiversity and conservation. Then develops the strategies that evolutionary biologists use for finding an answers to such questions. Then considers the observations and experiments that test the predictions made by competing hypotheses, and discusses how the data are interpreted. For anyone interested in human evolution, including those working in human and animal health care, environmental management and conservation, primary and secondary education, science journalism, and biological and medical research.

Computational and Evolutionary Analysis of HIV Molecular Sequences


Computational and Evolutionary Analysis of HIV Molecular Sequences

Author: Allen G. Rodrigo

language: en

Publisher: Springer Science & Business Media

Release Date: 2001


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HIV research is unusual in that it brings together scientists from a wide range of disciplines; clinicians: pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. The book seeks to bridge the gap between these groups, in both subject matter and terminology."--BOOK JACKET.

Evolutionary Analysis


Evolutionary Analysis

Author: Jon C. Herron

language: en

Publisher: Pearson

Release Date: 1998


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By presenting evolutionary biology as an ongoing research effort, this best-seller aims to help readers think like scientists. The authors convey the excitement and logic of evolutionary science by introducing principles through recent and classical studies, and by emphasizing real-world applications. Features a new chapter on Phylogenomics and the Molecular Basis of Adaptation (Ch. 15). Offers an earlier presentation of Reconstructing Evolutionary Trees, reflecting the growing importance of this topic in the field. Includes the latest research and examples, giving students access to the most current developments in the field. Includes full-color photographs, diagrams and data-graphics throughout, developed by the author.