Post-genome Informatics
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Product details:
- Publisher OUP Oxford
- Date of Publication 20 January 2000
- ISBN 9780198503262
- Binding Paperback
- No. of pages160 pages
- Size 232x156x11 mm
- Weight 301 g
- Language English
- Illustrations numerous line figures 0
Categories
Short description:
Many genes and indeed genomes have already been sequenced: the first draft of the human genome is due to be completed in 2001. There is therefore a large and ever increasing amount of biological information at the molecular level. We also have much information about biological systems at the cellular and organism level. However there is a large gap in our knowledge between these two levels i.e. how genes and proteins are networked to form a biological system.
Post-genome Informatics provides the starting point for understanding that gap.
Long description:
The genome projects have now entered a rapid production phase with complete genome sequences and complete gene catalogues already available for a number of organisms and an increasing number expected shortly. In addition the new DNA and protein chip technologies can produce functional data about genes such as gene expression profiles at a rapid rate. There is therefore a large and ever increasing amount of data about genes and molecules. However there is still a huge
gap between information at the molecular level and information at the level of integrated biological systems. It is this gap that is addressed in Post-genome Informatics. Post-genome informatics is the analysis of biological functions in terms of the network of interacting molecules and genes with
the aim of understanding how a biological system is organized from its individual building blocks. As well as containing a comprehensive survey of the database and computational technologies relevant to molecular sequence analysis, Post-genome Informatics will provide the reader with a conceptual framework and practical methods for the representation and computation of molecular networks.
"I would recommend this book to anyone as a very readable and relatively non-technical introduction to computational molecular biology" Statistical Methods in Medical Research
Table of Contents:
Preface
Blueprint of life
Molecular biology databases - Historical background, Informatics technologies, New generation of molecular biology databases
Sequence analysis of nucleic acids and proteins - Similarity search, Prediction of structures and functions
Network analysis of molecular interactions - Network representation and computation, Principles of biochemical networks
References and further reading
