Data Analysis in Molecular Biology and Evolution Ebook PDF (2023)

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Data analysis in molecular biology and evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (1)

  • Autor : Xuhua Xia
  • Editorial : Springer Science & Business Media
  • Pages : 280
  • Release : 2007-05-08
  • ISBN: 9780306468933
  • Classification : 4/5(411users)

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Data analysis in molecular biology and evolution by Xuhua Xia Book PDF

Data Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, easy-to-use computer program for molecular data analysis. The unique combination of this book and the software will allow biologists to not only understand the logic behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories. Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced-level undergraduate or graduate students, as well as professionals working in the field.

Analysis of topological data for genomics and evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (2)

  • Author: Raúl Rabadan, Andrew J. Blumberg
  • Editorial : Cambridge University Press
  • Pages : 521
  • Release : 2019-12-19
  • ISBN : 9781107159549
  • Classification : 4/5(411users)

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Topological Data Analysis for Genomics and Evolution by Raul Rabadan,Andrew J. Blumberg PDF Book

An introduction to geometric and topological methods for analyzing large-scale biological data; includes statistics and genomic applications.

Statistical methods in molecular evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (3)

  • Author: Rasmus Nielsen
  • Editorial : Springer Science & Business Media
  • Pages : 528
  • Release : 2005-04-21
  • ISBN: 0387223339
  • Classification : 4/5(411users)

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Statistical Methods in Molecular Evolution by Rasmus Nielsen PDF Book

In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies on molecular evolution rely heavily on statistical procedures based on stochastic process modeling and advanced computational methods, including high-dimensional numerical optimization and the Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers who are new to the field, a section that discusses practical methods for data analysis, and more specialized sections that discuss specific models and address statistical issues related to model choice and estimation. The chapters are written by leaders in the field and will take the reader from basic introductory material to more advanced statistical methods. This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists interested in learning more about the theory behind applied statistical methods in the field. The book's chapters do not assume advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. The most relevant statistical concepts are presented in the book in the context of their application to molecular evolution, and the book should be accessible to most biology graduate students interested in quantitative methods and theory. Rasmus Nielsen received his Ph.D. he formed the University of California at Berkeley in 1998 and after a postdoc at Harvard University, he assumed a position on the Statistical Genomics faculty at Cornell University. He is currently an Ole Rømer Fellow at the University of Copenhagen and a Sloan Research Fellow. He is associate editor of the Journal of Molecular Evolution and has published more than fifty original articles in peer-reviewed journals on the subject of this book. From the reviews: "...Overall, this is a very useful book in an area of ​​growing importance." Journal of the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that were considered very difficult only a few years ago... the book is likely to stimulate the interest of statisticians unfamiliar with this exciting field of applications. I hope it will also help the 'wet lab' molecular evolutionist better understand mathematical and statistical methods." Marek Kimmel for the Journal of the American Statistical Association, September 2006 "Who should read this book? We suggest that anyone dealing with molecular data (who shouldn't?) and anyone asking evolutionary questions (who shouldn't?) should consult the corresponding chapters of this book. Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory makes it easy to merge population genetics theory with phylogenetic approaches, but even so, there are mainly two fields: phylogeneticists and population geneticists. Only a few people move freely between them. Rasmus Nielsen is certainly one of these researchers, and his work thus far has merged many phylogenetic and population genetic aspects of biological research under the umbrella of molecular evolution. Although Nielsen does not contributed a chapter to his book, his work pervades all its chapters. This book provides an overview of his current interests and achievements in molecular evolution. In short, this book should be in your library." Peter Beerli for Evolution, 60(2), 2006

molecular evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (4)

  • Autor: Ziheng Yang
  • Editorial : Oxford University Press
  • Pages : 509
  • Released: 2014
  • ISBN: 9780199602605
  • Classification : 4/5(411users)

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Molecular Evolution by Ziheng Yang Book PDF

This book presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. The book offers numerous examples of real data analysis and numerical calculations to illustrate the theory, as well as work problems at the end of each chapter. Coverage of Bayesian and maximum likelihood methods is, in particular, up-to-date, complete, and reliable.

An introduction to statistical analysis of genetic data

Data Analysis in Molecular Biology and Evolution Ebook PDF (5)

  • Author: Melinda C. Mills, Nicola Barban, Felix C. Tropf
  • Editorial : MIT Press
  • Pages : 433
  • Release : 2020-02-18
  • ISBN: 9780262538381
  • Classification : 4/5(411users)

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Introduction to statistical analysis of genetic data by Melinda C. Mills,Nicola Barban,Felix C. Tropf PDF Book

A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and medical sciences, with applications in fields such as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, data availability, and new techniques, it is now possible to integrate large-scale molecular genetic information into research on a wide range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis covering the theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; no background in molecular biology or genetics is required. The first book provides the foundation for the statistical analysis of genetic data, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practical aspects of working with genetic data, discussing topics such as analytical challenges and data management. Finally, the book presents advanced topics and applications, including polygenic scoring and gene-environment interaction applications, Mendelian randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.

Computational Molecular Evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (6)

  • Autor: Ziheng Yang
  • Editorial : Oxford University Press
  • Pages : 374
  • Release : 2006-10-05
  • ISBN: 9780198566991
  • Classification : 4/5(1users)

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Computational Molecular Evolution by Ziheng Yang Book PDF

This book describes the models, methods, and algorithms that are most useful for analyzing the growing supply of molecular sequence data, with a view to improving our understanding of the evolution of genes and genomes.

Techniques in Systematics and Molecular Evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (7)

  • Author: Rob DeSalle, Gonzalo Giribet, Ward Wheeler
  • Editorial : Birkhauser
  • Pages : 410
  • Release : 2013-12-01
  • ISBN: 9783034881258
  • Classification : 4/5(411users)

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Techniques in Molecular Systematics and Evolution by Rob DeSalle,Gonzalo Giribet,Ward Wheeler PDF Book

The amount of information that can be obtained using molecular techniques on evolution, systematics, and ecology has increased exponentially in the last ten years. The need for faster and more efficient methods of data acquisition and analysis grows accordingly. This manual presents some of the most important techniques for data acquisition developed in recent years. The choice and justification of data analysis techniques is also an important and critical aspect of modern evolutionary and phylogenetic analysis, so a considerable part of this volume addresses this important topic. The book is written primarily for students and researchers in evolutionary biology looking for methods to acquire data, but also in molecular biology who might be looking for insight into how data is analyzed in an evolutionary context. To assist the user, information about websites is included whenever possible. Approaches that will drive the amount of information that the systematics will collect in the

Statistics and Truth

Data Analysis in Molecular Biology and Evolution Ebook PDF (8)

  • Author: Kalyampudi Radhakrishna Rao
  • Editorial : World Scientific
  • Pages : 213
  • Released: 1997
  • ISBN: 9789810231118
  • Classification : 4/5(411users)

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Statistics and Truth by Calyampudi Radhakrishna Rao PDF Book

Written by one of the best statisticians with experience in various fields of statistical applications, the book deals with the philosophical and methodological aspects of information technology, the collection and analysis of data to provide perspective on a problem, be it scientific research, political decision-making by the government or decision-making in our daily lives. The author dispels doubts that chance is an expression of our ignorance that makes accurate prediction impossible and illustrates how our thinking has changed with the quantification of uncertainty by showing that chance is no longer the obstruction but a way of expressing our knowledge. In fact, chance can create and help in the search for the truth. It is eloquently demonstrated by numerous application examples that statistics is the science, technology and art of extracting information from data and is based on the study of the laws of chance. It highlights how statistical ideas played a vital role in scientific and other investigations even before statistics was recognized as a separate discipline and how statistics is now evolving as a versatile, powerful and unavoidable tool in various fields of science. human activity, such as literature, legal affairs. , industry, archeology and medicine. Emphasis is placed on the use of statistics for the layman in improving quality of life through wise decision making.

Bioinformatics and Molecular Evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (9)

  • Autor: Paul G. Higgs, Teresa K. Attwood
  • Editorial : John Wiley & Sons
  • Pages : 384
  • Release : 2013-04-30
  • ISBN: 9781118697061
  • Classification : 4/5(411users)

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Bioinformatics and Molecular Evolution by Paul G. Higgs,Teresa K. Attwood PDF Book

In today's era of whole genome sequencing, Bioinformatics and Molecular Evolution provides a comprehensive and up-to-date introduction to bioinformatics in the context of evolutionary biology. This accessible text: provides a comprehensive examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to life science students places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications, presents end-of-chapter problems and self-tests to help students synthesize materials and apply your understanding. It is accompanied by a dedicated website: www.blackwellpublishing. .com/higgs – Contains downloadable scripts, links to web resources, answers to self-assessment questions, and all artwork in downloadable format (artwork is also available to instructors on CD-ROM). This important textbook will provide readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced students, graduate students, and researchers in courses in molecular biology, genetics, genomics, computational biology, and bioinformatics.

Analysis of Phylogenetics and Evolution with R

Data Analysis in Molecular Biology and Evolution Ebook PDF (10)

  • Author: Emmanuel Paradis
  • Editorial : Springer Science & Business Media
  • Pages : 386
  • Release : 2011-11-06
  • ISBN : 9781461417439
  • Classification : 4/5(411users)

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Analysis of Phylogenetics and Evolution with R by Emmanuel Paradis Book PDF

The increasing availability of molecular and genetic databases, coupled with the increasing power of computers, gives biologists the opportunity to tackle new problems, such as patterns of molecular evolution, and reassess old ones, such as the role of adaptation in the diversification of species. In the second edition, the book continues to integrate a wide variety of data analysis methods into a single, flexible interface: the R language. This open source language is available for a wide range of computing systems and has been adopted as a computing environment. by many authors of statistical software. The adoption of R as the main tool for phylogenetic analyzes will facilitate the data analysis workflow of biologists, ensure greater scientific repeatability and improve the exchange of ideas and methodological developments. The second edition is completely up to date and covers the full range of R packages for this area that have been introduced to the market since its previous publication five years ago. There is also a new chapter on simulating evolutionary data. Graduate students and researchers in evolutionary biology can use this book as a reference for data analysis, while bioinformatics researchers interested in evolutionary analyzes will learn how to implement these methods in R. The book begins with a presentation of different R packages and offers a brief introduction to R for phylogeneticists unfamiliar with this language. Basic phylogenetic topics are covered: phylogenetic data manipulation, phylogeny estimation, tree drawing, phylogenetic comparative methods, and ancestral trait estimation. The chapter on drawing trees uses the powerful graphical environment of R. One section deals with analyzing diversification with phylogenies, one of the author's favorite research topics. The last chapter is dedicated to the development of phylogenetic methods with R and interfaces with other languages ​​(C and C++). Some exercises conclude these chapters.

Molecular data analysis using R

Data Analysis in Molecular Biology and Evolution Ebook PDF (11)

  • Author: Csaba Ortutay, Zsuzsanna Ortutay
  • Editorial : John Wiley & Sons
  • Pages : 354
  • Release : 2017-02-06
  • ISBN : 9781119165026
  • Classification : 4/5(411users)

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Análisis de datos moleculares using R por Csaba Ortutay, Zsuzsanna Ortutay Libro PDF

This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of data related to molecular biology. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based on two college courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High Throughput Data Analysis with R). The material is divided into chapters based on the experimental methods used in the laboratories. Key features include: • Broad Appeal: Authors target their material to researchers at various levels, ensuring that the basics are always covered. • First book that explains how to use R and Bioconductor for the analysis of various types of experimental data in the field of molecular biology. • Focuses on R and Bioconductor, which are widely used for data analysis. A great advantage of R and Bioconductor is that there is a large user community and very active discussion, as well as the practice of code sharing. Also, R is the platform for implementing new analysis approaches, therefore novel methods are available from the start for R users.

Molecular and Phylogenetic Evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (12)

  • Autor: Masatoshi Nei, Sudhir Kumar
  • Editorial : Oxford University Press
  • Pages : 352
  • Release : 2000-07-27
  • ISBN: 9780199881222
  • Classification : 5/5(1users)

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Molecular and Phylogenetic Evolution by Masatoshi Nei,Sudhir Kumar PDF Book

During the last ten years, remarkable progress has been made in the study of molecular evolution. Among the most important factors responsible for this progress are the development of new statistical methods and advances in computer technology. In particular, phylogenetic analysis of DNA or protein sequences has become a powerful tool for studying molecular evolution. Along with this developing technology, the application of new statistical and computational methods has become more complicated and there is no comprehensive volume that covers these methods in depth. Molecular Evolution and Phylogenetics fills this gap and presents several statistical methods that are easily accessible to general biologists, as well as biochemists, bioinformaticians, and graduate students. The text covers the measurement of sequence divergence, the construction of phylogenetic trees, statistical tests for the detection of positive Darwinian selection, the inference of ancestral amino acid sequences, the construction of linearized trees, and the analysis of allele frequency data. . Emphasis is placed on practical methods of data analysis, and the methods can be learned by working through numerical examples using the MEGA2 software provided.

Statistical methods in molecular evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (13)

  • Author: Rasmus Nielsen
  • Editorial : Springer Science & Business Media
  • Pages : 505
  • Release : 2006-03-30
  • ISBN: 9780387277332
  • Classification : 4/5(411users)

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Statistical Methods in Molecular Evolution by Rasmus Nielsen PDF Book

In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies on molecular evolution rely heavily on statistical procedures based on stochastic process modeling and advanced computational methods, including high-dimensional numerical optimization and the Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers who are new to the field, a section that discusses practical methods for data analysis, and more specialized sections that discuss specific models and address statistical issues related to model choice and estimation. The chapters are written by leaders in the field and will take the reader from basic introductory material to more advanced statistical methods. This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists interested in learning more about the theory behind applied statistical methods in the field. The book's chapters do not assume advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. The most relevant statistical concepts are presented in the book in the context of their application to molecular evolution, and the book should be accessible to most biology graduate students interested in quantitative methods and theory. Rasmus Nielsen received his Ph.D. he formed the University of California at Berkeley in 1998 and after a postdoc at Harvard University, he assumed a position on the Statistical Genomics faculty at Cornell University. He is currently an Ole Rømer Fellow at the University of Copenhagen and a Sloan Research Fellow. He is associate editor of the Journal of Molecular Evolution and has published more than fifty original articles in peer-reviewed journals on the subject of this book. From the reviews: "...Overall, this is a very useful book in an area of ​​growing importance." Journal of the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that were considered very difficult only a few years ago... the book is likely to stimulate the interest of statisticians unfamiliar with this exciting field of applications. I hope it will also help the 'wet lab' molecular evolutionist better understand mathematical and statistical methods." Marek Kimmel for the Journal of the American Statistical Association, September 2006 "Who should read this book? We suggest that anyone dealing with molecular data (who shouldn't?) and anyone asking evolutionary questions (who shouldn't?) should consult the corresponding chapters of this book. Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory makes it easy to merge population genetics theory with phylogenetic approaches, but even so, there are mainly two fields: phylogeneticists and population geneticists. Only a few people move freely between them. Rasmus Nielsen is certainly one of these researchers, and his work thus far has merged many phylogenetic and population genetic aspects of biological research under the umbrella of molecular evolution. Although Nielsen does not contributed a chapter to his book, his work pervades all its chapters. This book provides an overview of his current interests and achievements in molecular evolution. In short, this book should be in your library." Peter Beerli for Evolution, 60(2), 2006

the phylogenetic handbook

Data Analysis in Molecular Biology and Evolution Ebook PDF (14)

  • Authors: Marco Salemi, Anne-Mieke Vandamme
  • Editorial : Cambridge University Press
  • Pages : 456
  • Released: 2003-08-27
  • ISBN: 052180390X
  • Classification : 5/5(1users)

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The phylogenetic manual of Marco Salemi, Anne-Mieke Vandamme PDF Book

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The molecular evolutionary clock

Data Analysis in Molecular Biology and Evolution Ebook PDF (15)

  • Author: Simon Y. W. Ho
  • Editorial : Springer Nature
  • Pages : 249
  • Launch : 2021-01-18
  • ISBN: 9783030601812
  • Classification : 4/5(411users)

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Simon Y. W. Ho's Molecular Evolutionary Clock PDF Book

This book presents coverage of the principles and practice of molecular clocks, which have provided unprecedented and fascinating insights into the evolutionary time scale of life on Earth. It begins by tracing the early development of the molecular evolutionary clock in the 1960s and leads to the complex statistical approaches now used to analyze genome sequences. The chapters in this book have been contributed by leading experts in the field and address the important topics of evolutionary rates, molecular dating, and phylogenomic analysis. This is the first time that these different aspects of the molecular clock have been brought together in a single comprehensive volume. It is an invaluable reference for students and researchers interested in evolutionary biology, genetic analysis, and genomic evolution.

Bioinformatics

Data Analysis in Molecular Biology and Evolution Ebook PDF (16)

  • Autor: Jonathan M. Keith
  • Publisher : Humana
  • Pages : 491
  • Release : 2018-06-21
  • ISBN: 1493982524
  • Classification : 4/5(411users)

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Bioinformatics by Jonathan M. Keith Book PDF

This second edition provides updated and expanded chapters covering a broad cross section of current and useful methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition consists of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution. The first section details bioinformatics methodologies in the generation of sequence and structural data and their organization into conceptual categories and databases to facilitate further analysis. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that are used in almost all bioinformatics analysis processes, particularly in the preliminary stages of such processes. Last but not least, the phylogenetics and evolution section deals with methodologies that compare biological sequences in order to understand how they evolved. As a volume in the best-selling Methods in Molecular Biology series, the chapters present the kind of detail and expert implementation tips to ensure positive results. Comprehensive and practical, Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition, is an essential resource for graduate students, early-career researchers, and others who are in the process of integrating new bioinformatics methods into their research. .

Plant Genetics and Molecular Biology

Data Analysis in Molecular Biology and Evolution Ebook PDF (17)

  • Autor: Rajeev K. Varshney, Manish K. Pandey, Annapurna Chitikineni
  • Editorial : Springer
  • Pages : 298
  • Release : 2018-09-04
  • ISBN: 9783319913131
  • Classification : 4/5(411users)

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Genética vegetal y biología molecular por Rajeev K. Varshney, Manish K. Pandey, Annapurna Chitikineni Libro PDF

This book reviews the latest advances in multiple fields of plant biotechnology and the opportunities that plant genetics, genomics, and molecular biology have offered for the improvement of agriculture. Advanced technologies can dramatically improve our ability to understand the molecular basis of traits and use available resources for the accelerated development of high-yielding, nutritious, input-efficient, and climate-smart crop varieties. In this book, readers will discover significant advances in plant genetics, structural and functional genomics, trait and gene discovery, transcriptomics, proteomics, metabolomics, epigenomics, nanotechnology, and analytical and decision support tools in breeding. This book appeals to researchers, academics, and other stakeholders in global agriculture.

Genomics and Bioinformatics

Data Analysis in Molecular Biology and Evolution Ebook PDF (18)

  • Author: Tore Samuelsson
  • Editorial : Cambridge University Press
  • Pages : 357
  • Release : 2012-06-07
  • ISBN: 9781107008564
  • Classification : 4/5(411users)

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Genomics and Bioinformatics by Tore Samuelsson PDF Book

A hands-on introduction to Unix, Perl, and other bioinformatics tools using interesting and relevant molecular biology problems.

Molecular approaches to ecology and evolution

Data Analysis in Molecular Biology and Evolution Ebook PDF (19)

  • Author : R. deSalle,B. Schierwater
  • Editorial : Birkhauser
  • Pages : 371
  • Release : 2012-12-06
  • ISBN: 9783034889483
  • Classification : 4/5(411users)

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Molecular approaches to ecology and evolution by R. deSalle,B. Schierwater Book PDF

Four years ago we edited a volume of 36 articles entitled Molecular Approaches to Ecology and Evolution (Schierwater et al., 1994), in which we tried to bring together a diverse series of articles demonstrating the impact that the technological revolution in molecular biology has had on the field of evolutionary biology and ecology. The present volume borrows from that theme, but attempts to focus more clearly on the impact that molecular biology has had on our understanding of the different hierarchical levels important in evolutionary and ecological studies. Because DNA sequence variation is at the center of all the articles in this volume, we believe it is necessary to examine how DNA has affected study at various levels of biological organization. Most of the chapters in the present volume follow themes established in the previous volume; All of the authors' chapters in the previous volume are either completely updated or entirely new and expand on areas we feel are important for a fuller understanding of the impact of DNA technology on ecology and evolution. The collection of articles in this volume covers a wide range of ecological and evolutionary issues and demonstrates the breadth of coverage that molecular technology has imparted to modern evolutionary biology. There is also a wide range of hierarchical issues addressed by the 17 articles in this volume.

Molecular Evolutionary Genetics

Data Analysis in Molecular Biology and Evolution Ebook PDF (20)

  • Autor: Masatoshi Nei
  • Editorial : Columbia University Press
  • Pages : 526
  • Release: 1987
  • ISBN: 0231063210
  • Classification : 4.5/5(3users)

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Molecular Evolutionary Genetics by Masatoshi Nei Book PDF

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