Uses automated text analysis to identify and merge replicates and to determine the type of each array in the series. ExpressionBlast processes expression data sets in Gene Expression Omnibus (GEO) across all experiments, species and platforms. This application works with a method which standardizes the data in terms of gene identifiers, the meaning of the expression values (log ratios) and the distribution of these values.
Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA; The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
ExpressionBlast funding source(s)
Supported in part by US National Institutes of Health grant 1RO1 GM085022 and US National Science Foundation awards DBI-0965316 and I-Corps 1242525.