Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
BMC Bioinformatics. 2010 May 19;11:263. doi: 10.1186/1471-2105-11-263.
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.
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.
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/.
人们对开发计算方法来分析荧光显微镜图像并实现蛋白质亚细胞定位的自动化大规模分析越来越感兴趣。确定亚细胞定位是确定蛋白质功能的一个组成部分，将生物信息学应用于该问题为蛋白质组注释提供了一个有价值的工具。用于图像分析研究的算法的培训和验证通常依赖于大量的图像数据集，如果有一个大型的、经过良好注释的、高度可用的图像数据库以及相关元数据，那么这将对这些算法非常有益。
酵母资源中心公共图像存储库（YRC PIR）是一个包含大量描绘蛋白质亚细胞定位和共定位的图像的数据库。该数据库专为需要大量图像的计算生物学家而设计，包含了来自近 85000 个单独实验的 532182 张 TIFF 图像及其相关实验数据。所有图像和相关数据都可以通过直观的网络界面进行搜索和浏览。通过标准兼容的 OME-TIFF 数据，可以下载搜索结果、实验、单个图像或整个数据集。
YRC PIR 是研究人员查找、查看和下载许多图像以及相关元数据的强大资源，这些图像和相关元数据描绘了蛋白质或蛋白质类别的亚细胞定位和共定位，以标准兼容的格式呈现。YRC PIR 可在 http://images.yeastrc.org/ 免费获取。
