| 書(shū)目名稱 | Computational Genome Analysis | | 副標(biāo)題 | An Introduction | | 編輯 | Richard C. Deonier,Michael S. Waterman,Simon Tavar | | 視頻video | http://file.papertrans.cn/233/232321/232321.mp4 | | 概述 | Describes the basic mathematics and statistics underlying computational genomics.Features free download of R software statistics package.Provides great crossover material that is interesting and acces | | 圖書(shū)封面 |  | | 描述 | .Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field...This book features:..- Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation..- Presentation of fundamentals of probability, statistics, and algorithms..- Implementation of computational methods with numerous examples based upon the R statistics package..- Extensive descriptions and explanations to complement the analytical development..- More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature..- Exercises at the end of chapter | | 出版日期 | Textbook 2005 | | 關(guān)鍵詞 | Alignment; Analysis; DNA; algorithms; bioinformatics; clustering; computer; computer science; database; genom | | 版次 | 1 | | doi | https://doi.org/10.1007/0-387-28807-4 | | isbn_softcover | 978-1-4419-3162-7 | | isbn_ebook | 978-0-387-28807-9 | | copyright | Springer-Verlag New York 2005 |
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