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Image Data Resource: a bioimage data integration and publication platform
- 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.
- Subjects :
- 0301 basic medicine
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Computational resource
computer.software_genre
Bioinformatics
Biochemistry
Data type
Article
03 medical and health sciences
0302 clinical medicine
Resource (project management)
Software
Molecular Biology
business.industry
Digital pathology
Cell Biology
Data science
030104 developmental biology
System integration
business
computer
030217 neurology & neurosurgery
Chemical database
Biotechnology
Data integration
Subjects
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