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PRACTICAL BIOINFORMATICIAN, THE

LIMSOON WONG

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Hardback
04 June 2004
$351.00
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Computer scientists have increasingly been enlisted as “bioinformaticians” to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics:

• Overview of modern molecular biology and a broad spectrum of techniques from computer science — data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc.

• In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences.

• Incisive discussion of computational prediction of secondary structure of RNA sequences.

• Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function.

• Overview of methods for discovering protein–protein interactions.

• Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions.

• Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery.

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$351.00
Ships in 3-5 business days
Hurry up! Current stock:

PRACTICAL BIOINFORMATICIAN, THE

$351.00

Description

 

Computer scientists have increasingly been enlisted as “bioinformaticians” to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics:

• Overview of modern molecular biology and a broad spectrum of techniques from computer science — data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc.

• In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences.

• Incisive discussion of computational prediction of secondary structure of RNA sequences.

• Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function.

• Overview of methods for discovering protein–protein interactions.

• Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions.

• Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery.

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