Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology: Algorithms and Software Tools（Paperback）

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques.

• Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets.

• Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis.

• Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research.

• Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications.

• Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems.
• Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications.
• Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

《計算生物學、生物信息學和系統生物學的新興趨勢》討論了計算生物學、生物信息學和系統生物學各個方面的最新發展，以及數據分析和算法、數學建模和模擬技術的應用。

• 討論了數據分析和理論方法、數學建模和計算模擬技術在生物和行為系統研究中的發展和應用，包括在癌症研究、計算智能和藥物設計、高性能計算和生物學以及雲和網格計算中存儲和訪問大數據集的應用。

• 提出了一種系統化的方法，使用軟件工具存儲、檢索、組織和分析生物數據，並應用於DNA/RNA結構的一般原則、生物信息學和應用、基因組、蛋白質結構、建模和分類以及微陣列分析。

• 提供了系統生物學的觀點，包括使用計算工具和軟件從多個實驗來源獲取、整合和分析複雜數據集的一般指南和技術。涵蓋的主題包括表型學、基因組學、表觀基因組學/表觀遺傳學、代謝組學、細胞週期和檢查點控制，以及系統生物學和疫苗研究。

• 解釋了在數據集如此龐大且複雜以至於難以使用傳統的數據庫管理系統或傳統的數據處理應用程序處理時，如何有效利用大數據工具的能力。

• 討論了數據分析和理論方法、數學建模和計算模擬技術在生物和行為系統研究中的發展和應用。

• 提出了一種系統化的方法，使用軟件工具存儲、檢索、組織和分析生物數據，並應用於各種領域。

• 提供了系統生物學的觀點，包括使用計算工具和軟件從多個實驗來源獲取、整合和分析複雜數據集的一般指南和技術。