Bioinformatics Computing (Paperback)

Appropriate for all courses in bioinformatics, for molecular biology students at all levels.

The field of bioinformatics is growing at an unprecedented rate, as molecular biologists discover the extraordinary range of computational techniques and applications that apply directly to their work. Now, Harvard Medical School and MIT faculty member Bryan Bergeron has written a comprehensive, practical guide to bioinformatics for biology students at every level. Bergeron illuminates key advances in computer visualization, large database design, advanced pattern matching, machine learning, statistical methods, and distributed computing—and demonstrates exactly how these advances can be used to advance research into biological systems. Bergeron also identifies technologies and approaches on the near horizon that will have a significant impact on bioinformatics, and introduces the key global and societal issues most likely to shape bioinformatics in the coming years.

Table of Contents

Preface.
Acknowledgments.
1. The Central Dogma.
2. Databases.
3. Networks.
4. Search Engines.
5. Data Visualization.
6. Statistics.
7. Data Mining.
8. Pattern Matching.
9. Modeling and Simulation.
10. Collaboration.
Bibliography.
Index.

適用於所有生物信息學課程，適用於各級分子生物學學生。
生物信息學領域正在以前所未有的速度增長，因為分子生物學家發現了與他們的工作直接相關的計算技術和應用的非凡範圍。現在，哈佛醫學院和麻省理工學院的教師Bryan Bergeron為各級生物學學生撰寫了一本全面的、實用的生物信息學指南。Bergeron闡明了計算機可視化、大型數據庫設計、高級模式匹配、機器學習、統計方法和分布式計算等關鍵進展，並演示了這些進展如何被用於推進對生物系統的研究。Bergeron還確定了即將出現的技術和方法，這些技術和方法將對生物信息學產生重大影響，並介紹了在未來幾年中最有可能塑造生物信息學的關鍵全球和社會問題。

目錄
前言
致謝
1. 中心法則
2. 數據庫
3. 網絡
4. 搜索引擎
5. 數據可視化
6. 統計學
7. 數據挖掘
8. 模式匹配
9. 建模和模擬
10. 協作
參考文獻
索引