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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.
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.
The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.
A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
The Stem Cell Artificial Neural network project entails the analysis and integration of genomics data for extracting the stemness signature of several tissues by training a multiclass single-layer linear artificial neural network.
The BioDataServer is a database integration system. It implements a mediator-wrapper architecture and offers a SQL interface. The data integration is based on user defined intergrated schema and adapter that wrap any kind of data source.
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