生物情報学のすべて<br>All About Bioinformatics : From Beginner to Expert

個数:1
紙書籍版価格
¥33,580
  • 電子書籍
  • ポイントキャンペーン

生物情報学のすべて
All About Bioinformatics : From Beginner to Expert

  • 著者名:Hasija, Yasha
  • 価格 ¥28,333 (本体¥25,758)
  • Academic Press(2023/04/05発売)
  • 冬の読書を楽しもう!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~1/25)
  • ポイント 6,425pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780443152504
  • eISBN:9780443152511

ファイル: /

Description

All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the _x001F_field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cover the topics thoroughly.The book covers both traditional topics such as biological databases, algorithms, genetic variations, static methods, and structural bioinformatics, as well as contemporary advanced topics such as high-throughput technologies, drug informatics, system and network biology, and machine learning. It is a valuable resource for researchers and graduate students who are interested to learn more about bioinformatics to apply in their research work.- Presents a holistic learning experience, beginning with an introduction to bioinformatics to recent advancements in the field- Discusses bioinformatics as a practice rather than in theory focusing on more application-oriented topics as high-throughput technologies, system and network biology, and workflow management systems- Encompasses chapters on statistics and machine learning to assist readers in deciphering trends and patterns in biological data

Table of Contents

1. What is bioinformatics? 2. Introduction to biological databases 3. Statistical methods in bioinformatics 4. Algorithms in computational biology 5. Genetic variations 6. Structural bioinformatics 7. High throughput technology 8. Drug informatics 9. A machine learning approach to bioinformatics 10. Systems and network biology 11. Bioinformatics workflow management systems 12. Data handling using Python

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