Welcome to RedB

Rediscovery Database (ReDB or 'red bee') is a project aimed at allowing researchers to explore the relationships between genes, diseases, pathways, compounds, and the researchers who are interested in them.

Many plant diseases and health traits are connected through shared molecular functions in which multiple genes participate. Hence, a global consideration of cell biology is needed to understand the mechanism of diseases and to conduct an effective drug development. How to integrate system level data from various large biological databases and be able to ask biological meaningful questions are both a challenge and an opportunity.

RediscoveryDB is addressing the issue by compiling and interrelating a large array of information including genes and their annotations, pathways, compounds, reactions, protein-protein interactions, disease/gene associations, and publications into a coherent form that greatly facilitate cross queries among the aforementioned resources. The commonly shared pathways among large number of genes or metabolites are presented in a table that can be sorted and filtered through a clean and informative interface using a Web Browser. It can present complex relationships into a network that can be visualized via Cytoscape and queried across molecular resources through Gaggle (http://gaggle.systemsbiology.org/docs/).

RedicoveryDB uses a unique layered approach to separate the original data source from data tables used for queries. This makes it easy to import and standardize data, as well as updating information. RediscoveryDB's schema and database backend is optimized for responsiveness necessary for Web-based interactions.

RediscoveryDB is the perfect tool for automatically annotating large data set from proteomics and metabolmics experiments. The RediscoveryDB is currently available at http://rediscovery.bioinformatics.ucdavis.edu