Sequence - Evolution - Function

Michael Galperin

ISBN 10: 1402072740 / ISBN 13: 9781402072741

Published by Springer US, Springer US Nov 2002, 2002

About this Item

Neuware -Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.Sequence - Evolution - Function should help bridge the 'digital divide' between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 488 pp. Englisch.

Seller Inventory # 9781402072741

Bibliographic Details

• Title: Sequence - Evolution - Function
• Publisher: Springer US, Springer US Nov 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 1402072740
• ISBN 13: 9781402072741
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 35D millimeters 241 millimeters width by 160 millimeters height by 35 millimeters depth
• Weight: 982 grams

About this title

Synopsis

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.

Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.