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About Arabidopsis GEB
Gene Expression Browser (GEB) is a free online service for scientists to find gene expression profiles. The first version of GEB is delivered with 301 Affymetrix ATH1 Arabidopsis microarray experiments. The microarray data is collected from NASC's Affymetrix Service and NCBI GEO. Users can obtain gene expression profiles by searching the key words in gene annotation, treatment/control (T/C) description or experiment description.
Terminology
T/C stands for treatment over control. GEB T/C View shows the expression profile of all genes under a T/C condition. Click here to view an example T/C View of "16 hr Pseudomonas infection". GEB Gene View shows all T/Cs that affect the expression of a selected gene. Click here to visit an example Gene View of Arabidopsis PR-1 gene. Both T/C View and Gene View are presented by MA plot. MA plot is used to visualize intensity-dependent ratio of microarray data. The MA plot uses M (log2 ratio of treatment over control) as the y-axis and A (average log2 intensity of treatment and control) as the x-axis.
Quick Start
Enter key words such as heat, cold or infection into the search box and click Submit to find search results. Click on the link to reach gene expression profile shown by Gene View or T/C View. Use the mouse to drag-and-drop the red square on the top-left MA plot onto the data points to find detailed information of each data point. Click 'select' link to mark the data point on the MA plot. Please have a training by clicking Flush video show or Quick Start, slide show or video show in Youtube (watch in high quality)
Future Development and Collaboration
GEB is composed of a set of software tools, including microarray data management system, data annotation tool, microarray data processing pipeline and data search and visualization tool. We will keep adding more and more microarray experimental data into GEB. We also plan to build mouse and human GEB using this set of software tools. We can release licenses and provide technical supports to deploy GEB for visualizing private micoarray data in enterprise's intranet when industrial, academic or non-profit institutions have the interest to use GEB to visualize all thier private data as totality.