OMERO: flexible, model-driven data management for experimental biology.

OMERO: flexible, model-driven data management for experimental biology.
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DOI:
10.1038/nmeth.1896
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发表时间:
2012-02-28
期刊:
影响因子:
48
通讯作者:
Swedlow, Jason R.
Swedlow, Jason R.
中科院分区:
生物学1区
文献类型:
--
作者:
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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数据密集型研究依赖于管理多维异构数据集的工具。我们已经建立了OME远程对象(OMERO),这是一个软件平台,可以访问和使用广泛的生物数据。OMERO使用基于服务器的中间件应用程序为图像、矩阵和表格提供统一的接口。OMERO的设计和灵活性使其能够用于光学显微镜,高内容筛选,电子显微镜,甚至非图像基因型数据。OMERO是开源软件,可在http://openmicroscopy.org上获得。
Data-intensive research depends on tools that manage multi-dimensional, heterogeneous data sets. We have 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 and available at http://openmicroscopy.org.
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