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商品描述
An expert discussion of simulation-based approaches to teaching genome sciences
In Digital Genomes: Monte Carlo Simulations of Microbes and Evolution, 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.
Qiu 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.
Readers will also find:
- A thorough introduction to a new approach to teaching population genetics and evolution
- Comprehensive explorations of algorithm-centered, programming language-agnostic learning
- Practical exercises at the end of each chapter that clarify key concepts with guided application
- In-depth treatments of evolutionary mechanisms, like recombination, genetic linkage, balancing selection, genome evolution, bacterial clonality, and negative frequency-dependent selection
Perfect 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.
商品描述(中文翻譯)
專家討論基於模擬的基因組科學教學方法
在數位基因組：微生物與演化的蒙地卡羅模擬中，著名研究者邱偉剛提供了對蒙地卡羅模擬在理解複雜生物過程中角色的全面探索。本書從微生物演化、計算機模擬和演化算法的介紹開始，接著探討DNA序列的演變以及中性演化、孟德爾遺傳、達爾文自然選擇和基因組演化等概念。
邱偉剛提供了幫助讀者保留所討論概念的練習，並在附屬網站上提供開源代碼的連結。這些連結指向的代碼作為解決演化問題的編程食譜，可以在Python、Bash、R和其他流行編程語言中實現。
讀者還會發現：
- 對教學人口遺傳學和演化的新方法的徹底介紹
- 對以算法為中心、與編程語言無關的學習的全面探索
- 每章結尾的實用練習，通過指導應用來澄清關鍵概念
- 對演化機制的深入探討，如重組、基因連鎖、平衡選擇、基因組演化、細菌克隆性和負頻率依賴選擇
本書非常適合學習人口遺傳學、演化學、遺傳學和生物信息學的高年級本科生和研究生，對於對演化生物學、遺傳學、微生物學和病毒學感興趣的研究人員也將大有裨益。
作者簡介
Weigang Qiu, PhD, 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.
作者簡介(中文翻譯)
魏剛 邱博士是美國紐約亨特學院的教授。他的研究專注於病原體基因組學、族群基因組學、系統發生學以及萊姆病病原體的演化。他教授有關演化和生物資訊學的課程。
