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Tools for integration and analysis of heterogeneous immunological data
An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/).
In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans...
The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.
Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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This project is to develop web applications and data integration functions to provide information on the collection records, ecology, geographic distribution, and taxonomic concepts of the vascular flora of the region.
Tracking and reporting system for the processing, monitoring, and enforcement of permits issued by the Oklahoma State Department of Environmental Quality. Features web access, CDX gateway for the EPA, and an automatic document assembly system for Word.