This week, Scientific Data published a collection of eight papers that describe datasets from high-throughput functional genomics screens, primarily utilizing RNA interference (RNAi). The publications explore host-pathogen dependencies, innate immune response, disease pathways, and cell morphology and motility at the genome-level. All data, including raw images from the high content screens, are publically available in PubChem BioAssay, figshare, Harvard Dataverse or the Image Data Resource (IDR). Detailed data descriptors enable use of these data for analysis algorithm design, machine learning, data comparisons, as well as generating new scientific hypotheses.
How to cite this article: Simpson, K. J. & Smith, J. A. Knocking down the obstacles to functional genomics data sharing. Sci. Data 4:170019 doi: 10.1038/sdata.2017.19 (2017).
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