Projects per year
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 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 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.
Original language | English |
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Pages (from-to) | 775-781 |
Number of pages | 7 |
Journal | Nature Methods |
Volume | 14 |
Issue number | 8 |
Early online date | 19 Jun 2017 |
DOIs | |
Publication status | Published - Aug 2017 |
Keywords
- Data integration
- Protein databases
Fingerprint
Dive into the research topics of 'The Image Data Resource: a bioimage data integration and publication platform'. Together they form a unique fingerprint.Projects
- 4 Finished
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Developing New World-Class Research Infrastructures (INFRADEV-2) (Joint with 20 other partners)
Swedlow, J. (Investigator)
COMMISSION OF THE EUROPEAN COMMUNITIES
1/01/16 → 31/12/18
Project: Research
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Expanded Metadatas Support in the Open Microscopy Environments Bio-Formats and OMERO Data Applications
Swedlow, J. (Investigator)
Biotechnology and Biological Sciences Research Council
31/08/14 → 28/02/18
Project: Research
Research output
- 177 Citations
- 1 Article
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Publisher Correction: Image Data Resource: a bioimage data integration and publication platform
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., 4 Oct 2018, In: Nature Methods. 15, 11, p. 984-984 1 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)
Profiles
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Swedlow, Jason
- Molecular Cell and Developmental Biology - Professor of Quantitative Cell Biology, Program Director of Quantitative Cell Biology
Person: Secondment, Academic