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Introduction to Computational Biology

Name: Introduction to Computational Biology
Brand: SPRINGER VERLAG GMBH
Price: 236.25 AUD
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Maps, Sequences and Genomes

By: Michael S. Waterman

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Hardcover | 1 June 1995 | Edition Number 1

At a Glance

Hardcover
448 Pages

Age
Up to 18

Dimensions(cm)
24.5 x 16.3 x 2.9

Hardcover

RRP $284.00

$236.25

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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.

Industry Reviews

"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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You Can Find This Book In

Non-Fiction Science Biology, Life Sciences Molecular Biology Medicine Medicine in General Computing & I.T.Computer Science Mathematical Theory of Computation Maths for Computer Scientists Science in General Maths for Scientists

Mathematics Probability & Statistics Engineering & Technology Biochemical Engineering Biotechnology

Preface
Introduction	p. 1
Some Molecular Biology	p. 5
Restriction Maps	p. 29
Multiple Maps	p. 41
Algorithms for DDP	p. 65
Cloning and Clone Libraries	p. 83
Physical Genome Maps: Oceans, Islands and Anchors	p. 101
Sequence Assembly	p. 135
Databases and Rapid Sequence Analysis	p. 161
Dynamic Programming Alignment of Two Sequences	p. 183
Multiple Sequence Alignment	p. 233
Probability and Statistics for Sequence Alignment	p. 253
Probability and Statistics for Sequence Patterns	p. 305
RNA Secondary Structure	p. 327
Trees and Sequences	p. 345
Sources and Perspectives	p. 377
References	p. 387
I Problem Solutions and Hints	p. 401
II Mathematical Notation	p. 421
Algorithm Index	p. 423
Author Index	p. 425
Subject Index	p. 428
Table of Contents provided by Blackwell. All Rights Reserved.

Introduction to Computational Biology

Maps, Sequences and Genomes

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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