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Understanding Bioinformatics

简体网页||繁体网页
Marketa Zvelebil 作者
Garland Science
译者
2007-08-29 出版日期
798 页数
USD 115.00 价格
Paperback
丛书系列
9780815340249 图书编码

Understanding Bioinformatics 在线电子书 图书标签: 英语  英文原版  英文  专业  2018   


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发表于2024-11-10


Understanding Bioinformatics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Understanding Bioinformatics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Understanding Bioinformatics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Understanding Bioinformatics 在线电子书 图书描述

Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure - predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology. The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to give an overview of the conceptual links within each topic.

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