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Bioinformatics in the Post-Genomic Era: Genome, Transcriptome, Proteome, and Information-Based Medicine

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Bioinformatics in the Post-Genomic Era: Genome, Transcriptome, Proteome, and Information-Based Medicine

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Description

  • Copyright 2005
  • Dimensions: 7" x 9-1/4"
  • Pages: 408
  • Edition: 1st
  • Book
  • ISBN-10: 0-321-17386-4
  • ISBN-13: 978-0-321-17386-7

During the past decade advanced computing technologies have revolutionizedlife sciences and medical research. The changes are not only dramatic, but theyhave affected virtually everyone in life sciences. Information technology isaccelerating the drug discovery and testing process. Most current books onbioinformatics either lack technical depth, or focus on a specific narrow topic.Jeff Augen's book is the first overview with both broad coverage that doesjustice to the extent of this new field while at the same time having enoughdepth to be of practical use to working professionals. It surveys the mostrecent cutting-edge developments, offering enough technical information to beuseful without overloading the reader or quickly becoming obsolete.

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Table of Contents

Preface.

1. Introduction.

Overview.

Computationally Intense Problems: A Central Theme in Modern Biology.

Building the Public Infrastructure.

The Human Genome’s Several Layers of Complexity.

Toward Personalized Medicine.

Illnesses are Polygenic.

New Science, New Infrastructure.

The Proactive Future of Information-Based Medicine.

2. Introduction to Bioinformatics.

Introduction.

The Emergence of Bioinformatics.

The Public Database Infrastructure.

Building Database Infrastructure for Bioinformatics.

Traditional Bioinformatic Tools and Algorithms.

Summary.

3. Gene Structure.

Introduction.

The Central Dogma of Molecular Biology.

The Genetic Code.

Structure and Content of the Genome.

Computational Techniques for the Identification of Genomic Features.

High-Throughput Gene Sequencing.

Summary.

4. Computational Techniques for Sequence Analysis.

Introduction.

Hidden Markov Models.

Perceptrons and Neural Networks.

Pattern Discovery, Single Nucleotide Polymorphisms, and Haplotype Identification.

Summary.

5. Transcription.

Introduction.

The Transcriptome.

Technologies for Transcriptional Profiling.

Hierarchical Clustering.

Summary.

6. Overview of the Proteome and the Protein Translation Process.

Introduction.

Ribosomal Structure and the Protein Translation Process.

Special Features of the Eukaryotic-Translation Process.

Summary.

7. Protein Structure Prediction.

Introduction.

Overview of Ab Initio and Database-Driven Approaches.

Overview of   Protein Structure.

Protein Structure Databases.

Ab Initio Structure Prediction.

Predicting Lead–Target Interactions.

Summary.

8. Medical Informatics and Information-Based Medicine.

Introduction.

The Continuous Evolution in Understanding that Leads to Genomic Medicine.

Electronic Medical Records.

Grid Computing and Medical Informatics.

Modeling and Predicting Disease.

Summary.

9. New Themes in Bioinformatics.

Introduction.

Overview of Parallel Computing and Workflow Distribution in Bioinformatics.

Workflow Computing.

High-Performance Computing and Systems Biology.

The Delineation of Metabolic Pathways.

Systems Biology.

Summary.

Further Reading.

Index.

Index

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