A OWL reasoning framework for the analysis of big biomedical data
A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability. In our experiment, we focus on the discovery of associations between Traditional Chinese Medicine (TCM) and Western Medicine (WM).
A system for automated analysis and data handling for RNAi screens
The iBRAIN2 software system for RNAi high-content screening integrates automated analysis and customizable data management.
It enables robust and complex parallel processing on computer cluster infrastructure and allows for reliable storage of primary and resulting data sets.
GRIP is a clinical decision support system for controlling glucose levels in critically ill patients. GRIP may replace paper-based protocols for intensive insulin therapy and can use arbitrary complex rules to advise nurses on insulin doses.
Discrete Event System Specification (DEVS) combined with System Biology Markup Language (SBML) project: a Java-based tool to solve complex biology processes. Support by RTSync Corporation and Arizona Center for Integrated Modeling & Simulation (ACIMS)
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Osprey is a software platform for visualization of complex interaction networks. Osprey builds data-rich graphical represetations from Gene Ontology (GO) annotated interactions maintained by the BioGRID.
TAS (Transcription Analysis System) is a multi-tier framework for running parameterized SQL queries. Users can analyze new data or new combinations of data with a few clicks in a GUI. Potentially complex/repetitive database interaction is all automated