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 Science
Niko 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 Makałowski, Amit Pande, Valer Gotea, and Izabela Makałowska
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 Science
Niko 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 Makałowski, Amit Pande, Valer Gotea, and Izabela Makałowska
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
发表于2024-11-17
Evolutionary Genomics 2024 pdf epub mobi 电子书
图书标签: 进化基因组学 进化 学术专著 Evolution
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(t) 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.
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评分系统,全面,新颖,不可多得。
评分系统,全面,新颖,不可多得。
Evolutionary Genomics 2024 pdf epub mobi 电子书