{"product_id":"digital-genomes-monte-carlo-simulations-of-microbes-and-evolution-paperback-softback-9781394314614","title":"Digital Genomes; Monte Carlo Simulations of Microbes and Evolution (Paperback \/ softback) 9781394314614","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDigital Genomes\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eMonte Carlo Simulations of Microbes and Evolution\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eWeigang Qiu (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394314614, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 12 March 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e240 pages\u003cbr\u003e24.1 x 16.8 x 2 cm, 0.454 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eAn expert discussion of simulation-based approaches to teaching genome sciences\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIn \u003ci\u003eDigital Genomes: Monte Carlo Simulations of Microbes and Evolution\u003c\/i\u003e, distinguished researcher Weigang Qiu delivers a comprehensive exploration of the role of Monte Carlo simulations in understanding complex biological processes. Beginning with an introduction to microbial evolution, computer simulations, and evolutionary algorithms, the book moves on to explore the evolution of DNA sequences and concepts like neutral evolution, Mendelian inheritance, Darwinian natural selection, and genome evolution. \u003c\/p\u003e\n\u003cp\u003eQiu offers exercises to help readers retain the concepts discussed within, as well as links to open-source code on a complimentary companion website. Those links point to code that serves as a programming recipe for solving evolutionary problems that can be implemented in Python, Bash, R, and other popular programming languages. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA thorough introduction to a new approach to teaching population genetics and evolution\u003c\/li\u003e \u003cli\u003eComprehensive explorations of algorithm-centered, programming language-agnostic learning\u003c\/li\u003e \u003cli\u003ePractical exercises at the end of each chapter that clarify key concepts with guided application\u003c\/li\u003e \u003cli\u003eIn-depth treatments of evolutionary mechanisms, like recombination, genetic linkage, balancing selection, genome evolution, bacterial clonality, and negative frequency-dependent selection\u003c\/li\u003e \u003c\/ul\u003e\n\u003cp\u003ePerfect for senior undergraduate and graduate students studying population genetics, evolution, genetics, and bioinformatics, this book will also benefit researchers with an interest in evolutionary biology, genetics, microbiology, and virology.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eList of Algorithms xi\u003cbr\u003eList of Figures xiii\u003cbr\u003eList of Tables xvii\u003cbr\u003eAbout the Author xix\u003cbr\u003ePreface xxi\u003cbr\u003eAcknowledgments xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction and Overview 1\u003c\/b\u003e\u003cbr\u003e1.1 Microbial Evolution 1\u003cbr\u003e1.2 Probability by Simulation 2\u003cbr\u003e1.3 A Learner's Guide 3\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Foundational Algorithms 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Digital Genomes 11\u003c\/b\u003e\u003cbr\u003e2.1 Random DNA Sequences 12\u003cbr\u003e2.2 DNA Replication and Transcription 13\u003cbr\u003e2.3 Genetic Code and DNA Translation 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Digital Populations 21\u003c\/b\u003e\u003cbr\u003e3.1 Quantifying Genetic Diversity 22\u003cbr\u003e3.2 Genetic Drift 27\u003cbr\u003e3.3 Mutation 28\u003cbr\u003e3.4 Recombination 30\u003cbr\u003e3.5 Natural Selection 32\u003cbr\u003e3.6 Trait-associated SNPs 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Digital Species 41\u003c\/b\u003e\u003cbr\u003e4.1 Population Divergence 41\u003cbr\u003e4.2 Species Divergence 44\u003cbr\u003e4.3 Trait Evolution on a Tree: Binary Traits 46\u003cbr\u003e4.4 Trait Evolution on a Tree: Quantitative Traits 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Digital Life and Learning 53\u003c\/b\u003e\u003cbr\u003e5.1 Fitness Landscape 53\u003cbr\u003e5.2 Fitness Ascent with Greedy and Genetic Algorithms 54\u003cbr\u003e5.3 Open-ended Evolution with Novelty Search 56\u003cbr\u003e5.4 Self-optimization with Hebbian Learning and Hopfield Networks 59\u003cbr\u003e5.5 Foresighted Evolution with Perceptron 60\u003cbr\u003e5.6 Artificial Life with Finite Automata 63\u003cbr\u003e5.7 Case Study: Evolution-inspired Vaccine Designs 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Gene Evolution 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Gene Frequencies as Genetic Information 73\u003c\/b\u003e\u003cbr\u003e6.1 Frequentist vs. Bayesian Paradigms 74\u003cbr\u003e6.2 Case Study: Taster\/Nontaster Gene Frequencies in New York City 75\u003cbr\u003e6.3 Quantifying Genetic Information 77\u003cbr\u003e6.4 Case Studies: Gene Frequencies of Lyme Bacteria in Eastern United States 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Mendelian Genetics and Darwinian Selection 95\u003c\/b\u003e\u003cbr\u003e7.1 Neutral Evolution 95\u003cbr\u003e7.2 Darwinian Selection 102\u003cbr\u003e7.3 Frequency-dependent Selection 111\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Stochastic Evolution with Genetic Drift 115\u003c\/b\u003e\u003cbr\u003e8.1 Forward- and Backward-evolution Simulations 116\u003cbr\u003e8.2 Neutral DNA Polymorphisms 119\u003cbr\u003e8.3 Case Study: Genetic Structures of Lyme Bacteria and Tick Vectors in the Eastern United States 127\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Genome Evolution 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Recombination: Genomic Footprints 135\u003c\/b\u003e\u003cbr\u003e9.1 Four Gametes and Novel Haplotypes 136\u003cbr\u003e9.2 Linkage Disequilibrium 139\u003cbr\u003e9.3 Linkage Decay Over Distance and Time 140\u003cbr\u003e9.4 Haplotype Diversity with Recombinants 143\u003cbr\u003e9.5 Multilocus Allelic Association 146\u003cbr\u003e9.6 Sequence of Trees 148\u003cbr\u003e9.7 Case Studies: Recombination in Lyme Bacterial Populations 149\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Recombination: Adaptive Consequences 155\u003c\/b\u003e\u003cbr\u003e10.1 Neutral and Nearly Neutral Mutations 156\u003cbr\u003e10.2 Essentiality of Recombination and Sex 160\u003cbr\u003e10.3 Linked Selection 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Microbial Genome Clusters: Causes and Consequences 181\u003c\/b\u003e\u003cbr\u003e11.1 Clonality-sexuality Threshold 182\u003cbr\u003e11.2 Selective Sweeps 184\u003cbr\u003e11.3 Immune Selection 186\u003cbr\u003e11.4 Genome-wide Association Studies in Bacteria 188\u003c\/p\u003e \u003cp\u003eExercises 192\u003cbr\u003eAfterword 193\u003cbr\u003eBibliography 195\u003cbr\u003eIndex 211\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Biology, life sciences [\u003ca title=\"See our other books on Biology, life sciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Biology,%20life%20sciences%20%5BPS%5D%22\"\u003ePS\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand 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