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Post-genome Informatics

Minoru Kanehisa

Price: £47.50 (paper)
ISBN-13: 978-0-19-850326-2
Publication date: 20 January 2000
160 pages, 5 halftones & 58 line illus, 234x156 mm
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Reviews
  • '"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' -
  • '"As a whole the first three chapters would make a valuable basis for tutorial discussions for a final-year graduate students in Bioinformatics." Journal of Cell Science' -

Description
  • Concise explanation of the 'next big thing' in biomedical research
  • Internationally known and respected author
  • Well illustrated
  • Explains the computer science, molecular and cellular biology, and the physical principles involved
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.

Readership: All researchers (from post-graduates to professors) in the biomedical sciences. People doing taught post-graduate courses in bioinformatics. Computer database experts who create the genome databases. There is also potential for use by advanced undergraduates.

Contents
1. Blueprint of life
2. Molecular biology databases
2.1. Historical background
2.2. Informatics technologies
2.3. New generation of molecular biology databases
3. Sequence analysis of nucleic acids and proteins
3.1. Similarity search
3.2. Prediction of structures and functions
4. Network analysis of molecular interactions
4.1. Network representation and computation
4.2. Principles of biochemical networks
Appendix. Methods in computational molecular biology--Bibliography
1. Sequence analysis I. Sequence alignment
2. Sequence analysis II. Sequence features
3. Structure analysis
4. Network analysis

Authors, editors, and contributors


Minoru Kanehisa, Institute for Chemical Research, Kyoto University


Links to web resources and related information
More in the same subject area:
Genetics (non-medical)
Molecular biology
Biochemistry

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