OMERO: flexible, model-driven data management for experimental biology |
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| Authors: | Allan Chris Burel Jean-Marie Moore Josh Blackburn Colin Linkert Melissa Loynton Scott Macdonald Donald Moore William J Neves Carlos Patterson Andrew Porter Michael Tarkowska Aleksandra Loranger Brian Avondo Jerome Lagerstedt Ingvar Lianas Luca Leo Simone Hands Katherine Hay Ron T Patwardhan Ardan Best Christoph Kleywegt Gerard J Zanetti Gianluigi Swedlow Jason R |
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| Affiliation: | Wellcome Trust Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dundee, Scotland, UK. |
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| Abstract: | Data-intensive research depends on tools that manage multidimensional, heterogeneous datasets. We built OME Remote Objects (OMERO), a software platform that enables access to and use of a wide range of biological data. OMERO uses a server-based middleware application to provide a unified interface for images, matrices and tables. OMERO's design and flexibility have enabled its use for light-microscopy, high-content-screening, electron-microscopy and even non-image-genotype data. OMERO is open-source software, available at http://openmicroscopy.org/. |
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