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The Nuclear Receptor Signaling Atlas (NURSA) is partnering with the NIDDK Information Network (dkNET.org) to create big data from small data. Everyone is talking about Big Data. How can we ensure that the impact of individual scientists working on a myriad of small and focused studies that discover and probe new phenomena - is not lost in the Big Data world. In fact, there is more than one way to generate big data and we would like your help in creating and expanding “big data” for NIDDK! NURSA is curating a growing database, Transcriptomine, for global-scale expression profiling (transcriptomic) datasets relevant to nuclear receptor (NR) signaling pathways. In order to build a comprehensive "big" data set, we want to complement this transcriptomic resource with other omics datasets relevant to nuclear receptor and coregulatory pathways, and we need your help to assist the community to identify such datasets.
Challenge page: https://dknet.org/about/dknet-nursa-challenge
Submission deadline: June 16, 2017 23:59:59 PDT