Data Integration in the Life Sciences

Keynote Presentations.- Enabling the Molecular Medicine Revolution Through Network-Centric Biomedicine.- Phyl-O’Data (POD) from Tree of Life: Integration Challenges from Yellow Slimy Things to Black Crunchy Stuff.- New Architectures and Experience on Using Systems.- Automatically Constructing a Directory of Molecular Biology Databases.- The Allen Brain Atlas: Delivering Neuroscience to the Web on a Genome Wide Scale.- Toward an Integrated RNA Motif Database.- B-Fabric: A Data and Application Integration Framework for Life Sciences Research.- SWAMI: Integrating Biological Databases and Analysis Tools Within User Friendly Environment.- Grid and UTOPIA: An Integrated Approach to Enacting and Visualising in Silico Experiments in the Life Sciences.- Managing and Designing Scientific Workflows.- A High-Throughput Bioinformatics Platform for Mass Spectrometry-Based Proteomics.- Bioinformatics Service Reconciliation by Heterogeneous Schema Transformation.- A Formal Model of Dataflow Repositories.- Project Histories: Managing Data Provenance Across Collection-Oriented Scientific Workflow Runs.- Mapping and Matching Techniques.- Fast Approximate Duplicate Detection for 2D-NMR Spectra.- Ontology – Supported Machine Learning and Decision Support in Biomedicine.- Instance-Based Matching of Large Life Science Ontologies.- Modeling of Life Science Data.- Data Integration and Pattern-Finding in Biological Sequence with TESS’s Annotation Grammar and Extraction Language (AnGEL).- Inferring Gene Regulatory Networks from Multiple Data Sources Via a Dynamic Bayesian Network with Structural EM.- Accelerating Disease Gene Identification Through Integrated SNP Data Analysis.- Annotation in Data Integration.- What’s New? What’s Certain? – Scoring Search Results in the Presence of Overlapping Data Sources.- Using Annotations from Controlled Vocabularies to Find Meaningful Associations.- CONANN: An Online Biomedical Concept Annotator.