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For undergraduate courses in Evolution By presenting evolutionary biology as a dynamic, ongoing research effort and organizing discussions around questions, this best-selling text helps students think like scientists as they learn about evolution. The authors convey the excitement and logic of evolutionary science by introducing principles through recent and classical studies, and by emphasizing real-world applications. In the Fifth Edition, co-author Jon Herron takes the lead in streamlining and updating content to reflect key changes in the field. The design and art program have also been updated for enhanced clarity.

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Genre: Evolution
Author: Scott Freeman
Publisher:
Release: 2014-08-08
File: 864 Pages
ISBN-13: 1292061278

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For undergraduate courses in Evolution. By presenting evolutionary biology as an ongoing research effort, this best-selling text aims to help students 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.

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Genre: Evolution (Biology)
Author: Scott Freeman
Publisher:
Release: 2013-07-23
File: 856 Pages
ISBN-13: 1292023325

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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.

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Genre: Evolution (Biology)
Author: Scott Freeman
Publisher:
Release: 2001
File: 704 Pages
ISBN-13: UOM:39015049724803

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Genre: Education
Author: Scott Freeman
Publisher: Prentice Hall
Release: 2004
File: 802 Pages
ISBN-13: 0131063308

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BOOK EXCERPT:

For undergraduate courses in Evolution By presenting evolutionary biology as a dynamic, ongoing research effort and organizing discussions around questions, this best-selling text helps students think like scientists as they learn about evolution. The authors convey the excitement and logic of evolutionary science by introducing principles through recent and classical studies, and by emphasizing real-world applications. In the Fifth Edition, co-author Jon Herron takes the lead in streamlining and updating content to reflect key changes in the field. The design and art program have also been updated for enhanced clarity.

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Genre: Science
Author: Scott Freeman
Publisher: Pearson Higher Ed
Release: 2015-04-13
File: 864 Pages
ISBN-13: 9781292082684

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For undergraduate courses in Evolution. By presenting evolutionary biology as an ongoing research effort, this best-selling text aims to help students 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.

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Genre: Science
Author: Scott Freeman
Publisher: Pearson Higher Ed
Release: 2013-08-28
File: 856 Pages
ISBN-13: 9781292036496

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Covers theory, practice and programming in Bayesian phylogenetics with BEAST. The why, how and what of BEAST 2.

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Genre: Science
Author: Alexei J. Drummond
Publisher: Cambridge University Press
Release: 2015-08-06
File: 260 Pages
ISBN-13: 9781107019652

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Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionality. This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community. Sample Chapter(s). Chapter 1: A Network Analysis Primer (350 KB). Contents: A Network Analysis Primer (M P H Stumpf & C Wiuf); Evolutionary Analysis of Protein Interaction Networks (C Wiuf & O Ratmann); Motifs in Biological Networks (F Schreiber & H SchwAbbermeyer); Bayesian Analysis of Biological Networks: Clusters, Motifs, Cross-Species Correlations (J Berg & M Lnssig); Network Concepts and Epidemiological Models (R R Kao & I Z Kiss); Evolutionary Origin and Consequences of Design Properties of Metabolic Networks (T Pfeiffer & S Bonhoeffer); Protein Interactions from an Evolutionary Perspective (F Pazos & A Valencia); Statistical Null Models for Biological Network Analysis (W P Kelly et al.). Readership: Academics, researchers, postgraduates and advanced undergraduates in bioinformatics. Biologists, mathematicians/statisticians, physicists and computer scientists.

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Genre: Bayesian statistical decision theory
Author: Michael P. H. Stumpf
Publisher: World Scientific
Release: 2010
File: 170 Pages
ISBN-13: 9781848164345

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Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field). 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. This book seeks to bridge the gap between these groups, in both subject matter and terminology. Focused largely on HIV genetic variation, Computational and Evolutionary Analysis of HIV Molecular Sequences covers such issues as sampling and processing sequences, population genetics, phylogenetics and drug targets.

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Genre: Medical
Author: Allen G. Rodrigo
Publisher: Springer Science & Business Media
Release: 2007-05-08
File: 300 Pages
ISBN-13: 9780306469008

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Genre: Science
Author: Scott Freeman
Publisher:
Release: 2009-07-01
File: 800 Pages
ISBN-13: 032167703X

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