Evolutionary Genomics: Statistical and Computational Methods, Volume 1 - Methods in Molecular Biology 2012 edition

Marc Notes: Includes bibliographical references and index.; Pub. in assn with Springer Pub. 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 Stephane 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 Loytynoja 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 Glemin and Nicolas Galtier 12. Transposable Elements And Their Identification Wojciech Maka owski, Amit Pande, Valer Gotea, and Izabela Maka owska 13. Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans Josefa Gonzalez 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 Stephane 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 Loytynoja 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 Glemin and Nicolas Galtier 12. Transposable Elements And Their Identification Wojciech Maka owski, Amit Pande, Valer Gotea, and Izabela Maka owska 13. Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans Josefa Gonzalez 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"Jacket Description/Back: 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 Biology " 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."