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Author: Scott Freeman
Genre: Evolution
Publisher:
ISBN: 1292061278
Book Pages: 864
Format: PDF, ePub & Mobi

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.


Author: Scott Freeman
Genre: Education
Publisher: Prentice Hall
ISBN: 0131063308
Book Pages: 802
Format: PDF, ePub & Mobi


Author: Scott Freeman
Genre: Evolution (Biology)
Publisher:
ISBN: 1292023325
Book Pages: 856
Format: PDF, ePub & Mobi

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.


Author: Alexei J. Drummond
Genre: Science
Publisher: Cambridge University Press
ISBN: 9781107019652
Book Pages: 260
Format: PDF, ePub & Mobi

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


Author: Jon C. Herron
Genre: Science
Publisher:
ISBN: 0321928164
Book Pages: 864
Format: PDF, ePub & Mobi


Author: Jon C. Herron
Genre:
Publisher:
ISBN: 0321828984
Book Pages: 864
Format: PDF, ePub & Mobi

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 you think like a scientist as you 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.


Author: Scott Freeman
Genre: Science
Publisher: Pearson Higher Ed
ISBN: 9781292036496
Book Pages: 856
Format: PDF, ePub & Mobi

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.


Author: Allen G. Rodrigo
Genre: Computers
Publisher: Springer Science & Business Media
ISBN: 9780792379942
Book Pages: 300
Format: PDF, ePub & Mobi

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.


Author: Michael P. H. Stumpf
Genre: Bayesian statistical decision theory
Publisher: World Scientific
ISBN: 9781848164345
Book Pages: 170
Format: PDF, ePub & Mobi

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.


Author: Glenn-Peter Sætre
Genre: Science
Publisher: Oxford University Press, USA
ISBN: 9780198830917
Book Pages: 336
Format: PDF, ePub & Mobi

Evolutionary genetics is the study of how genetic variation leads to evolutionary change. With the recent explosion in the availability of whole genome sequence data, vast quantities of genetic data are being generated at an ever-increasing pace with the result that programming has become an essential tool for researchers. Most importantly, a thorough understanding of evolutionary principles is essential for making sense of this genetic data. This up-to-date textbook covers all the major components of modern evolutionary genetics, carefully explaining fundamental processes such as mutation, natural selection, genetic drift, and speciation, together with their consequences. The book also draws on a rich literature of exciting and inspiring examples to demonstrate the diversity of evolutionary research, including an emphasis on how evolution and selection has shaped our own species. Furthermore, at the end of each chapter, study questions are provided to motivate the reader to think and reflect on the concepts introduced. Practical experience is essential when it comes to developing an understanding of how to use genetic and genomic data to analyze and address interesting questions in the life sciences and how to interpret results in meaningful ways. In addition to the main text, a series of online tutorials using the R language serves as an introduction to programming, statistics, and the analysis of evolutionary genetic data. The R environment stands out as an ideal all-purpose, open source platform to handle and analyze such data. The book and its online materials take full advantage of the authors' own experience in working in a post-genomic revolution world, and introduce readers to the plethora of molecular and analytical methods that have only recently become available.