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Bioinformatics in the Post-Genomic Era Jeff Augen

Bioinformatics in the Post-Genomic Era By Jeff Augen

Bioinformatics in the Post-Genomic Era by Jeff Augen


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Condition - Very Good
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Summary

During the past decade advanced computing technologies have revolutionized life sciences and medical research. Contains a comprehensive treatment of the role of bioinformatics in the emerging world of molecular medicine.

Bioinformatics in the Post-Genomic Era Summary

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

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.

About Jeff Augen

Jeff Augen has a 20-year history in information technology and computational biology. Most recently, as President and CEO of the technical computing software company TurboWorx Inc., Jeff has focused on the design of parallel computing solutions for biomedical research and drug discovery. In his former position as the Director of Strategy for IBM's Life Sciences Division, Jeff was responsible for the company's entry into several new areas of the life sciences computing market including, most notably, information-based medicine. He is a frequent speaker at industry events, a member of several editorial boards, and an author of many recent review articles and editorials, in addition to a chapter on computational biology for Anti-Cancer Drug Development; Lippincott 2003. Augen's academic background includes graduate and undergraduate degrees in Biochemistry and Molecular Biology from the University of Texas and Rice University, respectively. His thesis research involved the development of algorithms for predicting protein tertiary structure. (c) Copyright Pearson Education. All rights reserved.

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.

Additional information

GOR013309442
9780321173867
0321173864
Bioinformatics in the Post-Genomic Era: Genome, Transcriptome, Proteome, and Information-Based Medicine by Jeff Augen
Used - Very Good
Paperback
Pearson Education (US)
20040909
408
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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