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Image Data Resource: a bioimage data integration and publication platform

Authors :
Gabriella Rustici
Anatole Chessel
Jason R. Swedlow
Richard K. Ferguson
Ugis Sarkans
Alvis Brazma
Balint Antal
Simone Leo
Josh Moore
Eleanor Williams
Aleksandra Tarkowska
Simon Li
Rafael E. Carazo Salas
Source :
Nature Methods, Williams, E, Moore, J, Li, S W, Rustici, G, Tarkowska, A, Chessel, A, Leo, S, Antal, B, Ferguson, R K, Sarkans, U, Brazma, A, Carazo Salas, R E & Swedlow, J R 2017, ' Image Data Resource : A bioimage data integration and publication platform ', Nature Methods, vol. 14, no. 8, pp. 775-781 . https://doi.org/10.1038/nmeth.4326
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR) that collects and integrates imaging data acquired across many different imaging modalities. IDR links data from several imaging modalities, including high-content screening, super-resolution and time-lapse microscopy, digital pathology, public genetic or chemical databases, and cell and tissue phenotypes expressed using controlled ontologies. Using this integration, IDR facilitates the analysis of gene networks and reveals functional interactions that are inaccessible to individual studies. To enable re-analysis, we also established a computational resource based on Jupyter notebooks that allows remote access to the entire IDR. IDR is also an open source platform that others can use to publish their own image data. Thus IDR provides both a novel on-line resource and a software infrastructure that promotes and extends publication and re-analysis of scientific image data.

Details

ISSN :
15487105 and 15487091
Volume :
14
Database :
OpenAIRE
Journal :
Nature Methods
Accession number :
edsair.doi.dedup.....fa825417447f94056ed1e3a8ac4e0c25
Full Text :
https://doi.org/10.1038/nmeth.4326