Bioinformatics in the Post-Genomic Era : Genome, Transcriptome, Proteome, and Information-Based Medicine
暫譯: 後基因組時代的生物資訊學：基因組、轉錄組、蛋白質組與資訊醫學

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.