Genomic and Computational Tools for Infectious Diseases

Genomic and Computational Tools for Infectious Diseases pdf epub mobi txt 电子书 下载 2026

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出版者: 作者:Valdivia-Granda, Willy 编 出品人: 页数:350 译者: 出版时间:2010-9 价格:$ 157.07 装帧: isbn号码:9780387094991 丛书系列:
图书标签
  • Genomics
  • Computational Biology
  • Infectious Diseases
  • Bioinformatics
  • Pathogenomics
  • Microbiology
  • Systems Biology
  • Data Analysis
  • Molecular Biology
  • Epidemiology
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具体描述

The main purpose of "Genomic and Computational Tools for Infectious Diseases" is to systematically present to the reader with a description and review of the principles, methodology, applications, and challenges related with the use of genomic tools to study influenza, HIV, encephalic and hemorrhagic viruses, malaria, and tuberculosis. This book will compile a comprehensive overview of the application of computational technologies to understand the biocomplexity of new and reemerging infectious diseases. The intent of this book is not to exhaustively survey the published literature on microbial functional genomics or bioinformatic tools, but rather, to provide the reader with representative examples and an illustrative guide of basic principles, approaches, and applications in genomics and computational biology specifically applied to specific pathogens. The book will include documents written by seasoned international researchers with extensive experience in both industry and academia. Each chapter will effectively outline the use of genomics for diagnostics, to study key aspects of the biology of a particular pathogen and its interaction with the host. Topics will include large scale sequencing, transcriptional analysis, regulatory element interactions and structural analysis of pathogen proteins and RNA interference. Another purpose of this book is to show the reader the advantages and limitations of recently developed high-throughput genomic and bioinformatic technologies. The book concludes with two chapters related to the use of nanobiotechnology and synthetic biology and their implications in the discovery, diagnostics and therapeutics. Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors Web site will make this book a valuable resource for both students and professionals in the field.

这本图书致力于为读者提供系统且全面的知识框架,其核心目标是在复杂的生命科学背景下,深入探讨基因组学和计算工具在传染病研究中的应用。内容涵盖了从基础理论到前沿技术的多个层面,帮助读者理解基因测序、变异检测以及大数据分析在疫情监控与防控中的实际作用。书中详细介绍了多种生物信息学方法,如全基因组关联研究(GWAS)、系统发育树构建及机器学习算法的应用,解析如何通过这些工具揭示病原体的进化路径和传播模式。 书籍还重点讲述了计算模型在模拟疾病传播中的重要性,通过数学建模与统计分析,读者可以掌握如何预测疫情的发展趋势,并评估干预措施的效果。这部分内容不仅涵盖经典的流行病学原理,还结合现代技术,如人工智能驱动的数据挖掘和图像识别,为理解复杂传染病特征提供了新的视角。此外,书中详细讨论了基于基因组数据的诊断与治疗策略,探索如何通过分子诊断技术精准对抗特定感染,并强调跨学科合作在这一领域的关键作用。 全书还特别关注技术实现层面,系统阐述了高通量测序平台、云计算环境及数据存储管理的最新进展,使读者能够深入理解如何高效处理和分析海量生物数据。通过典型案例分析,如新冠病毒基因组变异追踪、抗药性基因识别等,书中不仅展示了理论知识,还结合实际应用,帮助读者把握前沿科技在公共卫生中的具体价值。 图书的结构设计注重逻辑衔接,每一章均紧密关联,既有基础知识的讲解,也包含最新研究进展和技术工具的介绍。作者采用清晰的语言与丰富的例子,使专业内容易于理解,同时为读者搭建了跨领域的学习桥梁。这部分内容特别适用于希望将基因组学与计算方法深度融合的科研人员、医学生以及对传染病防控感兴趣的人士。 通过系统性的内容展开,读者不仅能掌握复杂生物信息学技术的核心原理,还能深入理解其在真实情境中的应用价值。这本书无论面向初学者还是研究人员,都提供了一个全面且权威的学习资源,助力他们在不断变化的科学环境中保持竞争优势。整个内容的布局和深度设计,旨在为读者打开一扇理解现代医学科技的窗口,让他们能够更自信地面对复杂的生物学挑战。

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