Massachusetts Institute of Technology (mit)
Computer Science and Artificial Intelligence Laboratory (csail)
Theory of Computation Group (toc)
Berger Lab for Computation and Biology (compbio)
Corresponding author for study: bab@mit.edu; isaac_kohane@hms.harvard.edu
Queries regarding usage of Concordia: Nathan_Palmer@hms.harvard.edu
Concordia allows you to upload an Affymetrix HGU-133 Plus 2.0 CEL file to obtain the Unified Medical Language System (UMLS) concepts that it is most enriched for based on its similarity with the microarray samples in the Concordia database.
Concordia consists of expression data from 3,209 Affymetrix HGU133+ 2.0 microarray assays. A comprehensive analysis of this data reveals a robust multidimensional continuum from ES/induced pluripotent stem cells to fully differentiated tissues. The findings are described in the following study:
Nathan P Palmer†, Patrick R Schmid†, Bonnie Berger* and Isaac S Kohane*. "A gene expression profile of stem cell pluripotentiality and differentiation is conserved across diverse solid and hematopoietic cancers". Genome Biology 13(8), R71 (2012) doi:10.1186/gb-2012-13-8-r71.