The Search Tag Analyze Resource for GEO (STARGEO.org) is 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.  There are currently over 2 million digital samples in the NIH's Gene Expression Omnibus (GEO) across an expansive diversity of disease and experimental factors.  However, these digital samples are not uniformly annotated across studies which significantly complicates downstream scientific inquiry of robust biological effects.  

STARGEO.org builds on GEO to provide powerful annotation and analysis layers that can be used to directly estimate the functional genomics of disease.  Specifically, STARGEO.org allows anyone to 1) Search for appropriate digital samples, 2) Tag samples with standardized annotations, and 3) Analyze samples across experiments to estimate robust genomic signatures with meta-analysis.  Genomic signatures of disease represent an unbiased starting point for drug and biomarker discovery.

Please join us for this STARGEO.org workshop hosted by its creator, Dexter Hadley, MD, PhD, to take the audience on a tour of the platform.  We will go over the Big Data gap that the STARGEO.org platform fills as well as specific use cases on how to annotate and analyze open digital samples for genomic signatures of disease.  Moreover, you will have the opportunity to design and execute your own experiments and test your own scientific hypotheses using open Big Data!

Please bring your laptops and your questions!

Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number UH2CA203792. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.