The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images

被引:30
|
作者
Riffle, Michael [1 ,2 ]
Davis, Trisha N. [1 ]
机构
[1] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[2] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
来源
BMC BIOINFORMATICS | 2010年 / 11卷
关键词
PROTEIN LOCALIZATION;
D O I
10.1186/1471-2105-11-263
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: There is increasing interest in the development of computational methods to analyze fluorescent microscopy images and enable automated large-scale analysis of the subcellular localization of proteins. Determining the subcellular localization is an integral part of identifying a protein's function, and the application of bioinformatics to this problem provides a valuable tool for the annotation of proteomes. Training and validating algorithms used in image analysis research typically rely on large sets of image data, and would benefit from a large, well-annotated and highly-available database of images and associated metadata. Description: The Yeast Resource Center Public Image Repository (YRC PIR) is a large database of images depicting the subcellular localization and colocalization of proteins. Designed especially for computational biologists who need large numbers of images, the YRC PIR contains 532,182 TIFF images from nearly 85,000 separate experiments and their associated experimental data. All images and associated data are searchable, and the results browsable, through an intuitive web interface. Search results, experiments, individual images or the entire dataset may be downloaded as standards-compliant OME-TIFF data. Conclusions: The YRC PIR is a powerful resource for researchers to find, view, and download many images and associated metadata depicting the subcellular localization and colocalization of proteins, or classes of proteins, in a standards-compliant format. The YRC PIR is freely available at http://images.yeastrc.org/.
引用
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页数:9
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