Bioinformatics and Genome Analysis

Author:   Hans-Werner Mewes ,  Bertram Weiss ,  Hendrik Seidel
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Volume:   v. 38
ISBN:  

9783540428930


Pages:   300
Publication Date:   15 May 2002
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Bioinformatics and Genome Analysis


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Overview

This text provides insight into all important fields in bioinformatics including sequence analysis; expression analysis; structural biology; proteomics; and network analysis. Many of the leading scientists in the field have contributed chapters to topics ranging from genome sequence determination and its analysis, to the analysis of transcripts and proteins with the final aim of gaining a deeper understanding of the complex networks cells must obey in order to live. The book has been compiled for the increasing number of scientists and researchers working in bioinfomatics and genome analysis worldwide who would like not only to get an overview but who also enjoy reading about the latest results in this field.

Full Product Details

Author:   Hans-Werner Mewes ,  Bertram Weiss ,  Hendrik Seidel
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Volume:   v. 38
Weight:   0.520kg
ISBN:  

9783540428930


ISBN 10:   3540428933
Pages:   300
Publication Date:   15 May 2002
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1 Dissecting the Genetic Component of Complex Diseases in Humans.- 2 Bioinformatics of Membrane Proteins.- 3 SNAPping Up Functionally Related Genes Based on Context Information: A Colinearity-Free Approach.- 4 Promoter Analysis.- 5 Cluster Analysis and Its Applications to Gene Expression Data.- 6 Statistical Methods for Analyzing Gene Expression Data for Cancer Research.- 7 Comparing Secondary Structure 'Stick' Models of Proteins Using Graph Matching with Double Dynamic Programming.- 8 Computational Structural Proteomics.- 9 Proteomics in Biological Research: The Challenge to Make Proteins Speak.- 10 Construction and Prediction of Protein-Protein Interaction Maps.- 11 Bioinformatics, Cellular Flows, and Calculation.- 12 Graph-Based Analysis of Metabolic Networks.- 13 Orphan Protein Function and Its Relation to Glycosylation.- Previous Volumes Published in This Series.

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