<p>Data integration in the life sciences continues to be important but challe- ing. The ongoing development of new experimental methods gives rise to an increasingly wide range of data sets, which in turn must be combined to allow more integrative views of biological systems. Indeed, the growing pro
Data Integration in the Life Sciences: 6th International Workshop, DILS 2009, Manchester, UK, July 20-22, 2009. Proceedings
β Scribed by Zachary G. Ives (auth.), Norman W. Paton, Paolo Missier, Cornelia Hedeler (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2009
- Tongue
- English
- Leaves
- 230
- Series
- Lecture Notes in Computer Science 5647 : Lecture Notes in Bioinformatics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Data integration in the life sciences continues to be important but challe- ing. The ongoing development of new experimental methods gives rise to an increasingly wide range of data sets, which in turn must be combined to allow more integrative views of biological systems. Indeed, the growing prominence of systems biology, where mathematical models characterize behaviors observed in experiments of di?erent types, emphasizes the importance of data integration to the life sciences. In this context, the representation of models of biological behavior as data in turn gives rise to challenges relating to provenance, data quality, annotation, etc., all of which are associated with signi?cant research activities within computer science. The Data Integration in the Life Sciences (DILS) Workshop Series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences.
β¦ Table of Contents
Front Matter....Pages -
Data Integration and Exchange for Scientific Collaboration....Pages 1-4
Data Integration and Semantic Enrichment of Systems Biology Models and Simulations....Pages 5-15
Linking Life Sciences Data Using Graph-Based Mapping....Pages 16-30
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes....Pages 31-46
OpenFlyData: The Way to Go for Biological Data Integration....Pages 47-54
On the Reachability of Trustworthy Information from Integrated Exploratory Biological Queries....Pages 55-70
Estimating the Quality of Ontology-Based Annotations by Considering Evolutionary Changes....Pages 71-87
Integration and Mining of Genomic Annotations: Experiences and Perspectives in GFINDer Data Warehousing....Pages 88-95
Site-Wide Wrapper Induction for Life Science Deep Web Databases....Pages 96-112
An Adaptive Combination of Matchers: Application to the Mapping of Biological Ontologies for Genome Annotation....Pages 113-126
Slicing through the Scientific Literature....Pages 127-140
Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources....Pages 141-156
A Visual Interface for on-the-fly Biological Database Integration and Workflow Design Using VizBuilder....Pages 157-172
EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments....Pages 173-181
Design and Architecture of Web Services for Simulation of Biochemical Systems....Pages 182-195
An Integration and Analysis Pipeline for Systems Biology in Crop Plant Metabolism....Pages 196-203
Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking....Pages 204-219
Back Matter....Pages -
β¦ Subjects
Data Mining and Knowledge Discovery; Information Systems Applications (incl.Internet); Database Management; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Health Informatics
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