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Introduction to Computational Biology

Maps, Sequences and Genomes

Michael S. Waterman (University of Southern California, California, USA)

$273

Hardback

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English
Chapman & Hall/CRC
01 June 1995
Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding

common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and

the inference of evolutionary history of related sequences.

Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.

By:  
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm,  Spine: 29mm
Weight:   990g
ISBN:   9780412993916
ISBN 10:   0412993910
Series:   Chapman & Hall/CRC Interdisciplinary Statistics
Pages:   448
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Professional & Vocational ,  A / AS level ,  Further / Higher Education
Replaced By:   9781439861318
Format:   Hardback
Publisher's Status:   Active

Waterman, Michael S.

Reviews for Introduction to Computational Biology: Maps, Sequences and Genomes

I very much enjoyed the book, and was delighted to recommend itthe use of molecular biology to introduce and illustrate application of sophisticated mathematical theory was excellentas an illustration of the challenges and rewards of collaborative work, it is ideal. -Statistics: Monash University


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