Getting poster data...
Annapaola Santarsiero (EMBL-EBI, Cambridge, United Kingdom)Thousands of microarray experiments are performed every year to estimate the relative abundance of different RNA molecules in different biological conditions. Most of these experiments concentrate on comparing a small number of biological conditions such as a particular disease state compared to a normal condition. However, many more different biological states exist. It is impractical for a single dedicated experiment to generate a comprehensive expression data set covering all biological conditions but we can achieve this by using computational integration of publicly available databases. We collected, from the public microarray repositories GEO and ArrayExpress, over 9000 raw data files generated from the human gene expression array Affymetrix U133A and derived a global Human Gene Expression (HGE) Map by integrating raw data and harmonizing sample annotations. For each gene we then computed its expression profile characterizing its expression under each of the studied biological conditions and sample classes. This project aims at implementing, based on the current prototype, a public interface for the HGE Map. Through this interface, users will be able to visualize the map, exp