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More About This Textbook
Overview
This book constitutes the refereed proceedings of the 4th International Workshop on Data Integration in the Life Sciences, DILS 2007, held in Philadelphia, PA, USA in July 2007. It covers new architectures and experience on using systems, managing and designing scientific workflows, mapping and matching techniques, modeling of life science data, and annotation in data integration.
Product Details
Table of Contents
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.