Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems.
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One of the first systematic overviews of the problem of biological data integration using computational approaches
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This book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scale
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Places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems
Preface.
List of Contributors.
SECTION I: INTRODUCTION - DATA DIVERSITY AND INTEGRATION.
1. Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges (Francisco Azuaje and Joaquín Dopazo).
1.1 Data Analysis and Visualization: An Integrative Approach.
1.2 Critical Design and Implementation Factors.
1.3 Overview of Contributions.
References.
2. Biological Databases: Infrastructure, Content and Integration (Allyson L. Williams, Paul J. Kersey, Manuela Pruess and Rolf Apweiler).
2.1 Introduction.
2.2 Data Integration.
2.3 Review of Molecular Biology Databases.
2.4 Conclusion.
References.
3. Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions (Francisco Azuaje, Joaquín Dopazo and Haiying Wang).
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