Description

Abstract: STARGEO.org makes GEO data findable, accessible, interoperable and reusable to ultimately facilitate knowledge discovery in precision medicine. STARGEO.org 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. STARGEO.org 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 (STARGEO.org) 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.

Authors:

Maryam Panahiazar (Presenter)
UCSF

Dexter Hadley (Presenter)
UCSF

Presentation Materials:

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