Ebook: Bioinformatics and Genome Analysis

This book 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 of which range 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 to 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 exciting field.

---

This book 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 of which range 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 to 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 exciting field.
Content:
Front Matter....Pages I-XV
Dissecting the Genetic Component of Complex Diseases in Humans....Pages 1-15
Bioinformatics of Membrane Proteins....Pages 17-27
SNAPping Up Functionally Related Genes Based on Context Information: A Colinearity-Free Approach....Pages 29-63
Promoter Analysis....Pages 65-82
Cluster Analysis and Its Applications to Gene Expression Data....Pages 83-108
Statistical Methods for Analyzing Gene Expression Data for Cancer Research....Pages 109-131
Comparing Secondary Structure ‘Stick’ Models of Proteins Using Graph Matching with Double Dynamic Programming....Pages 133-148
Computational Structural Proteomics....Pages 149-166
Proteomics in Biological Research: The Challenge to Make Proteins Speak....Pages 167-189
Construction and Prediction of Protein-Protein Interaction Maps....Pages 191-220
Bioinformatics, Cellular Flows, and Calculation....Pages 221-243
Graph-Based Analysis of Metabolic Networks....Pages 245-274
Orphan Protein Function and Its Relation to Glycosylation....Pages 275-294
Back Matter....Pages 295-300

---

This book 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 of which range 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 to 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 exciting field.
Content:
Front Matter....Pages I-XV
Dissecting the Genetic Component of Complex Diseases in Humans....Pages 1-15
Bioinformatics of Membrane Proteins....Pages 17-27
SNAPping Up Functionally Related Genes Based on Context Information: A Colinearity-Free Approach....Pages 29-63
Promoter Analysis....Pages 65-82
Cluster Analysis and Its Applications to Gene Expression Data....Pages 83-108
Statistical Methods for Analyzing Gene Expression Data for Cancer Research....Pages 109-131
Comparing Secondary Structure ‘Stick’ Models of Proteins Using Graph Matching with Double Dynamic Programming....Pages 133-148
Computational Structural Proteomics....Pages 149-166
Proteomics in Biological Research: The Challenge to Make Proteins Speak....Pages 167-189
Construction and Prediction of Protein-Protein Interaction Maps....Pages 191-220
Bioinformatics, Cellular Flows, and Calculation....Pages 221-243
Graph-Based Analysis of Metabolic Networks....Pages 245-274
Orphan Protein Function and Its Relation to Glycosylation....Pages 275-294
Back Matter....Pages 295-300
....