PT  - JOURNAL ARTICLE
AU  - Eleanor Williams
AU  - Josh Moore
AU  - Simon W. Li
AU  - Gabriella Rustici
AU  - Aleksandra Tarkowska
AU  - Anatole Chessel
AU  - Simone Leo
AU  - Bálint Antal
AU  - Richard K. Ferguson
AU  - Ugis Sarkans
AU  - Alvis Brazma
AU  - Rafael E. Carazo Salas
AU  - Jason R. Swedlow
TI  - The Image Data Resource: A Scalable Platform for Biological Image Data Access, Integration, and Dissemination
AID  - 10.1101/089359
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 089359
4099  - http://biorxiv.org/content/early/2017/03/30/089359.short
4100  - http://biorxiv.org/content/early/2017/03/30/089359.full
AB  - 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 high-content screening, super-resolution microscopy, time-lapse and digital pathology imaging experiments to public genetic or chemical databases, and to 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 IPython 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.