Mathematics of Genome Analysis
The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three trillion nucleotides that make up the human genome and to identify individual genes within this sequence. The description and classification of sequences is heavily dependent on mathematical and statistical models. This short textbook presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing.
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Mathematics of Genome Analysis
The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three trillion nucleotides that make up the human genome and to identify individual genes within this sequence. The description and classification of sequences is heavily dependent on mathematical and statistical models. This short textbook presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing.
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Mathematics of Genome Analysis

Mathematics of Genome Analysis

by Jerome K. Percus
Mathematics of Genome Analysis

Mathematics of Genome Analysis

by Jerome K. Percus

Paperback(New Edition)

$42.00 
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Overview

The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three trillion nucleotides that make up the human genome and to identify individual genes within this sequence. The description and classification of sequences is heavily dependent on mathematical and statistical models. This short textbook presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing.

Product Details

ISBN-13: 9780521585262
Publisher: Cambridge University Press
Publication date: 12/03/2001
Series: Cambridge Studies in Mathematical Biology , #17
Edition description: New Edition
Pages: 150
Product dimensions: 6.02(w) x 9.02(h) x 0.43(d)

Table of Contents

Preface; 1. Decomposing DNA; 2. Recomposing DNA; 3. Sequence statistics; 4. Sequence comparison; 5. Spatial structure and dynamics of DNA; Bibliography; Index.
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