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Bioinformatics and Genome Analysis

Overview of attention for book
Cover of 'Bioinformatics and Genome Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Dissecting the Genetic Component of Complex Diseases in Humans
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    Chapter 2 Bioinformatics of Membrane Proteins
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    Chapter 3 SNAPping Up Functionally Related Genes Based on Context Information: A Colinearity-Free Approach
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    Chapter 4 Promoter Analysis
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    Chapter 5 Cluster analysis and its applications to gene expression data.
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    Chapter 6 Statistical Methods for Analyzing Gene Expression Data for Cancer Research
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    Chapter 7 Comparing Secondary Structure ‘Stick’ Models of Proteins Using Graph Matching with Double Dynamic Programming
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    Chapter 8 Computational Structural Proteomics
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    Chapter 9 Proteomics in Biological Research: The Challenge to Make Proteins Speak
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    Chapter 10 Construction and Prediction of Protein-Protein Interaction Maps
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    Chapter 11 Bioinformatics, Cellular Flows, and Calculation
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    Chapter 12 Graph-based analysis of metabolic networks.
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    Chapter 13 Orphan Protein Function and Its Relation to Glycosylation
Attention for Chapter 5: Cluster analysis and its applications to gene expression data.
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