Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications (Emerging Trends in Computer Science and Applied Computing)
Hamid R Arabnia, Quoc Nam Tran
- 出版商: Morgan Kaufmann
- 出版日期: 2016-03-22
- 售價: $4,700
- 貴賓價: 9.5 折 $4,465
- 語言: 英文
- 頁數: 592
- 裝訂: Paperback
- ISBN: 0128042036
- ISBN-13: 9780128042038
-
相關分類:
生物資訊 Bioinformatics、Computer-Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems.
The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge.
The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications.
- Explores all the latest advances in this fast-developing field from an applied perspective
- Provides the only coherent and comprehensive treatment of the subject available
- Covers the algorithm development, software design, and database applications that have been developed to foster research
商品描述(中文翻譯)
《計算生物學、生物信息學和系統生物學中的應用和基礎設施的新趨勢:系統和應用》涵蓋了該領域的最新趨勢,特別強調其應用。第一部分介紹了計算生物學的主要領域,包括數據分析和理論方法的開發和應用、數學建模以及用於研究生物和行為系統的計算模擬技術。
第二部分介紹了生物信息學,這是一個跨學科領域,關注存儲、檢索、組織和分析生物數據的方法。本書還探討了用於生成有用生物知識的軟件工具。
第三部分介紹了系統生物學,探討如何使用跨學科工具和技術獲取、整合和分析來自多個實驗來源的複雜數據集,最後一部分則專注於大數據和數據集的收集,這些數據集非常龐大和複雜,傳統的數據庫管理系統或傳統的數據處理應用難以處理。
本書還包括以下內容:
- 從應用角度探索這個快速發展領域的所有最新進展
- 提供了唯一一本有條理且全面的對該主題的論述
- 包括算法開發、軟件設計和數據庫應用,這些都是為了促進研究而開發的。