TY  - JOUR
T1  - OMERO: flexible, model-driven data management for experimental biology
JF  - NATURE METHODS
Y1  - 2012
A1  - Chris Allan
A1  - Jean-Marie Burel
A1  - Josh Moore
A1  - Colin Blackburn
A1  - Melissa Linkert
A1  - Scott Loynton
A1  - Donald MacDonald
A1  - et al.
AB  - 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/.
PB  - Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.
VL  - 9
SN  - 1548-7091
UR  - http://dx.doi.org/10.1038/nmeth.1896
IS  - 3
ER  -