Evolutionary Genomics: Statistical and Computational Methods, Volume 1 by Maria AnisimovaEvolutionary Genomics: Statistical and Computational Methods, Volume 1 by Maria Anisimova

Evolutionary Genomics: Statistical and Computational Methods, Volume 1

EditorMaria Anisimova

Hardcover | March 13, 2012

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Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies.  Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight.  Volume 1 includes a helpful introductory section of bioinformatician primers followed by detailed chapters detailing genomic data assembly, alignment, and homology inference as well as insights into genome evolution from statistical analyses.  Written in the highly successful Methods in Molecular BiologyT series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
Title:Evolutionary Genomics: Statistical and Computational Methods, Volume 1Format:HardcoverDimensions:481 pagesPublished:March 13, 2012Publisher:Humana PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:161779581X

ISBN - 13:9781617795817

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Table of Contents

Part I: Introduction: Bioinformatician's Primers            Aidan Budd            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.  2. Diversity of Genome Organization            Aidan Budd 3. Probability, Statistics, and Computational ScienceNiko Beerenwinkel and Juliane Siebourg 4. The Essentials of Computational Molecular Evolution            Stéphane Aris-Brosou and Nicolas Rodrigue Part II: Genomic Data Assembly, Alignment, and Homology Inference 5. Next-Generation Sequencing Technologies and Fragment Assembly Algorithms            Heewook Lee and Haixu Tang 6. Gene Prediction            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.             Tyler Alioto            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.  7. Alignment Methods: Strategies, Challenges, Benchmarking, and Comparative Overview            Ari Löytynoja 8. Whole-Genome Alignment            Colin N. Dewey 9. Inferring Orthology and Paralogy            Adrian M. Altenho and Christophe Dessimoz 10. Detecting Laterally Transferred Genes            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.             Sylvain Glémin and Nicolas Galtier 12. Transposable Elements And Their Identification            Wojciech Makalowski, Amit Pande, Valer Gotea, and Izabela Makalowska 13. Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans            Josefa González and Dmitri A. Petrov 14. Detection and Phylogenetic Assessment of Conserved Synteny Derived from Whole Genome Duplications            Shigehiro Kuraku and Axel Meyer 15. Analysis of Gene Order Evolution Beyond Single-Copy Genes            Nadia El-Mabrouk and David Sankoff 16. Discovering Patterns in Gene Order            Laxmi Parida and Niina Haiminen 1. Introduction to Genome Biology: Features, Processes, and Structures            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.             Aidan Budd            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.  2. Diversity of Genome Organization            Aidan Budd 3. Probability, Statistics, and Computational ScienceNiko Beerenwinkel and Juliane Siebourg 4. The Essentials of Computational Molecular Evolution            Stéphane Aris-Brosou and Nicolas Rodrigue Part II: Genomic Data Assembly, Alignment, and Homology Inference 5. Next-Generation Sequencing Technologies and Fragment Assembly Algorithms            Heewook Lee and Haixu Tang 6. Gene Prediction            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.             Tyler Alioto            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.  7. Alignment Methods: Strategies, Challenges, Benchmarking, and Comparative Overview            Ari Löytynoja 8. Whole-Genome Alignment            Colin N. Dewey 9. Inferring Orthology and Paralogy            Adrian M. Altenho and Christophe Dessimoz 10. Detecting Laterally Transferred Genes            Rajeev K. Azad and Jeffrey G. Lawrence Part III: Genome Evolution: Insights from Statistical Analyses 11.             Sylvain Glémin and Nicolas Galtier 12. Transposable Elements And Their Identification            Wojciech Makalowski, Amit Pande, Valer Gotea, and Izabela Makalowska 13. Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans            Josefa González and Dmitri A. Petrov 14. Detection and Phylogenetic Assessment of Conserved Synteny Derived from Whole Genome Duplications            Shigehiro Kuraku and Axel Meyer 15. Analysis of Gene Order Evolution Beyond Single-Copy Genes            Nadia El-Mabrouk and David Sankoff 16. Discovering Patterns in Gene Order            Laxmi Parida and Niina Haiminen