{"product_id":"9781394314614","title":"Digital Genomes Monte Carlo Simulations of Microbes and Evolution","description":"\u003ch1\u003eDigital Genomes\u003c\/h1\u003e\u003ch2\u003eMonte Carlo Simulations of Microbes and Evolution\u003c\/h2\u003e\u003ch3\u003eWeigang Qiu\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eScience \/ Life Sciences \/ Genetics \u0026amp; Genomics\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\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\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eWeigang Qiu, PhD,\u003c\/b\u003e is a Professor at Hunter College in New York, USA. His research is focused on pathogen genomics, population genomics, phylogenetics, and the evolution of the Lyme disease pathogen. He teaches courses on evolution and bioinformatics.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e03 March 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394314614\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e240\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44352043745420,"sku":"9781394314614","price":76.46,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394314614.jpg?v=1780163842","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394314614","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}