Format

Send to

Choose Destination
See comment in PubMed Commons below
Sci Data. 2017 Mar 1;4:170019. doi: 10.1038/sdata.2017.19.

Knocking down the obstacles to functional genomics data sharing.

Author information

1
Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre, Melbourne 3000, Australia.
2
The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville 3010, Australia.
3
ICCB-Longwood Screening Facility, Harvard Medical School, Boston, Massachusetts 02115, USA.

Abstract

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.

PMID:
28248922
PMCID:
PMC5332007
DOI:
10.1038/sdata.2017.19
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Support Center