YRC PUBLIC IMAGE REPOSITORY (YRC PIR)

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 背景 人们对计算方法的发展越来越感兴趣，以分析荧光显微镜图像并使蛋白质亚细胞定位的自动化大规模分析成为可能。确定亚细胞定位是确定蛋白质功能的一个重要组成部分，生物信息学在这一问题上的应用为蛋白质组的注释提供了一个有价值的工具。图像分析研究中使用的训练和验证算法通常依赖于大的图像数据集，并将受益于一个大的、注释良好的、高度可用的图像和相关元数据数据库。 描述 酵母资源中心公共图像库(YRC PIR)是一个描述蛋白质的亚细胞定位和共定位的大型图像数据库。YRC PIR专门为需要大量图像的计算生物学家设计，它包含来自近85,000个独立实验的532,182个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Web界面进行搜索，结果也可以浏览。搜索结果、实验、单个图像或整个数据集可以作为符合标准的OME-TIFF数据下载。 结论 YRC PIR是一个强大的资源，供研究人员查找、查看和下载许多图像和相关元数据，这些图像和元数据以符合标准的格式描述蛋白质或蛋白质类别的亚细胞定位和共定位。YRC PIR可在http://images.yeastrc.org/.上免费获得

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. 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/.