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dc.contributor.authorSimpson, KJ
dc.contributor.authorSmith, JA
dc.date.accessioned2020-12-18T02:51:56Z
dc.date.available2020-12-18T02:51:56Z
dc.date.issued2017-03-01
dc.identifierpii: sdata201719
dc.identifier.citationSimpson, K. J. & Smith, J. A. (2017). Knocking down the obstacles to functional genomics data sharing. SCIENTIFIC DATA, 4 (1), https://doi.org/10.1038/sdata.2017.19.
dc.identifier.issn2052-4463
dc.identifier.urihttp://hdl.handle.net/11343/255530
dc.description.abstractThis 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.
dc.languageEnglish
dc.publisherNATURE PUBLISHING GROUP
dc.titleKnocking down the obstacles to functional genomics data sharing
dc.typeJournal Article
dc.identifier.doi10.1038/sdata.2017.19
melbourne.affiliation.departmentClinical Pathology
melbourne.source.titleScientific Data
melbourne.source.volume4
melbourne.source.issue1
dc.rights.licenseCC BY
melbourne.elementsid1190995
melbourne.contributor.authorSimpson, Kaylene
dc.identifier.eissn2052-4463
melbourne.accessrightsOpen Access


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