Data Integration in the Life Sciences

Chapter 1 Ontologies and Data Integration in Biomedicine: Success Stories and Challenging Issues

Chapter 2 BioWarehouse: Relational Integration of Eleven Bioinformatics Databases and Formats

Chapter 3 Data Integration in the Life Sciences: Fun, Findings and Frustrations

Chapter 4 Analyzing the Evolution of Life Science Ontologies and Mappings

Chapter 5 Ontology Design Principles and Normalization Techniques in the Web

Chapter 6 Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Pairs of Controlled Vocabulary Terms

Chapter 7 Automatic Methods for Integrating Biomedical Data Sources in a Mediator-Based System

Chapter 8 VisGenome and Ensembl: Usability of Integrated Genome Maps

Chapter 9 An Entity Resolution Framework for Deduplicating Proteins

Chapter 10 Semantic Representation and Querying of caBIG Data Services

Chapter 11 SisGen: A CORBA–Based Data Management Program for DNA Sequencing Projects

Chapter 13 ENFIN - An Integrative Structure for Systems Biology

Chapter 14 A System for Ontology-Based Annotation of Biomedical Data

Chapter 15 Bio2RDF : A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse

Chapter 16 OMIE: Ontology Mapping within an Interactive and Extensible Environment

Chapter 17 Chemical Knowledge for the Semantic Web

Chapter 18 Combining One-Class Classification Models Based on Diverse Biological Data for Prediction of Protein-Protein Interactions

Chapter 19 Semi Supervised Spectral Clustering for Regulatory Module Discovery

Chapter 20 UniProtKB/Swiss-Prot: New and Future Developments

Chapter 21 EBI Proteomics Services

Chapter 22 Bio-ontologies Tutorial