Abstract: makes GEO data findable, accessible, interoperable and reusable to ultimately facilitate knowledge discovery in precision medicine. is a novel web-based application to gain better descriptions of GEO sample phenotypes uniformly across different studies and to define robust differentially expressed gene signatures of disease by meta-analysis of gene expression. is designed to be for crowd curation of open data what GitHub has been for open source code development: i.e., a community of curators that can openly build large sets of annotations together. The Search Tag Analyze Resource for GEO ( as an open online platform funded by the NIH’s Big Data to Knowledge (BD2K) consortium to use open data to characterize the functional genomics of disease.

Learning Objective 1: To learn how to access, interoperate and reuse GEO resources to do annotation and automatic meta-analysis in parallel for any subset of GEO studies for knowledge discovery in biomedical and clinical domains.


Maryam Panahiazar (Presenter)

Dexter Hadley (Presenter)

Presentation Materials: