Captures gene expression in the developing cortex. Cortecon uses RNA-seq technology to provide a repository that groups transcriptome changes during human in vitro corticogenesis and offers a standard for dataset comparison. The database can also be used for a better grasp of developmental pathways by using network analysis strategies. Searches can be made by gene, disease, KEGG pathway or by gene ontology (GO) ontology.
Neural Stem Cell Institute, Rensselaer, NY, USA; Department of Computer Science, College of Computing and Information, State University of New York, Albany, NY, USA; Allen Institute for Brain Science, Seattle, WA, USA
Cortecon funding source(s)
Supported by grants from NINDS (NS072434-01A1), the Regenerative Research Foundation and, in part, by the Allen Institute for Brain Science.