RT Journal Article
SR Electronic
T1 The Image Data Resource: A Scalable Platform for Biological Image Data Access, Integration, and Dissemination
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 089359
DO 10.1101/089359
A1 Eleanor Williams
A1 Josh Moore
A1 Simon W. Li
A1 Gabriella Rustici
A1 Aleksandra Tarkowska
A1 Anatole Chessel
A1 Simone Leo
A1 Bálint Antal
A1 Richard K. Ferguson
A1 Ugis Sarkans
A1 Alvis Brazma
A1 Rafael E. Carazo Salas
A1 Jason R. Swedlow
YR 2017
UL http://biorxiv.org/content/early/2017/03/30/089359.abstract
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.