Practical Bioinformatician, The e-bog
656,09 DKK
(inkl. moms 820,11 DKK)
Computer scientists have increasingly been enlisted as "e;bioinformaticians"e; 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...
E-bog
656,09 DKK
Forlag
World Scientific
Udgivet
24 maj 2004
Længde
540 sider
Genrer
Life sciences: general issues
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9789814482622
Computer scientists have increasingly been enlisted as "e;bioinformaticians"e; 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.