Bioinformatics: Sequence and Genome Analysis (Genome Analysis)
Book Description:The application of computational methods to DNA and protein science is a new and exciting development in biology. Bioinformatics: Sequence and Genome Analysis is a comprehensive introduction to this emerging field of study. The book has many unique and valuable features:
It is written for any biologist who wants to understand methods of sequence and structure analysis and how the necessary computer programs work
Sequence alignment, structure prediction, phylogenetic and gene prediction, database searching, and genome analysis are clearly explained and amply illustrated
Underlying algorithms and assumptions are clearly explained for the non-specialist
Examples are presented in simple numerical terms rather than complex formulas and notation
Theoretical underpinnings are linked to biological problems and their solutions
Extensive tables provide descriptions and Web sources for a broad range of publicly available software
Based on the author's extensive experience as a molecular geneticist and bioinformaticist at the University of Arizona, this is a uniquely educational book, ideal as a laboratory reference for investigators and also as teaching reference for graduate and undergraduate students studying this fast-changing discipline.
http://rs56.rapidshare.com/files/10032963/0879696087.rar 要密码呀，密码是多少？没有密码打不开呀！！ 楼主给密码呀!!没有密码打不开呀!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Book Description:
The application of computational methods to DNA and protein science is a new and exciting development in biology. Bioinformatics: Sequence and Genome Analysis is a comprehensive introduction to this emerging field of study. The book has many unique and valuable features:
It is written for any biologist who wants to understand methods of sequence and structure analysis and how the necessary computer programs work
Sequence alignment, structure prediction, phylogenetic and gene prediction, database searching, and genome analysis are clearly explained and amply illustrated
Underlying algorithms and assumptions are clearly explained for the non-specialist
Examples are presented in simple numerical terms rather than complex formulas and notation
Theoretical underpinnings are linked to biological problems and their solutions
Extensive tables provide descriptions and Web sources for a broad range of publicly available software
Based on the author's extensive experience as a molecular geneticist and bioinformaticist at the University of Arizona, this is a uniquely educational book, ideal as a laboratory reference for investigators and also as teaching reference for graduate and undergraduate students studying this fast-changing discipline.
http://rs56.rapidshare.com/files/10032963/0879696087.rar sorry for this
PASSWORD: azer
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