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首页> 外文期刊>BMC Bioinformatics >The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images
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The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images

机译:酵母资源中心公共图像存储库:荧光显微镜图像的大型数据库

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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/ .
机译:背景技术对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的计算方法的开发越来越感兴趣。确定亚细胞定位是鉴定蛋白质功能的重要组成部分,生物信息学在此问题上的应用为蛋白质组学的注释提供了有价值的工具。图像分析研究中使用的训练和验证算法通常依赖于大量图像数据,并且会受益于大型的,具有良好注释的,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存储库(YRC PIR)是图像的大型数据库,描述了蛋白质的亚细胞定位和共定位。 YRC PIR专为需要大量图像的计算生物学家而设计,包含来自将近85,000个单独实验及其相关实验数据的532,182张TIFF图像。通过直观的Web界面可搜索所有图像和相关数据,并可浏览结果。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是研究人员查找,查看和下载许多图像和相关元数据的强大资源,这些图像和元数据以标准兼容格式描述了蛋白质或蛋白质类别的亚细胞定位和共定位。您可以在http://images.yeastrc.org/免费获得YRC PIR。

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