YRC PUBLIC IMAGE REPOSITORY (YRC PIR)

YRC 公共图像存储库 (YRC PIR)

• 批准号: 8171214
• 负责人: Trisha N. Davis
• 金额: $ 10.19万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171214
• 关键词: Algorithms; Bioinformatics; Computer Retrieval of Information on Scientific Projects Database; Computing Methodologies; Data; Data Set; Databases; Development; Funding; Grant; Image; Image Analysis; Individual; Institution; Metadata; Microscopy; Proteins; Proteome; Research; Research Personnel; Resources; Source; Training; United States National Institutes of Health; Yeasts; design; interest; protein function; repository; research study; tool; web interface

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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/.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 背景 有越来越多的兴趣在发展的计算方法来分析荧光显微镜图像，并使自动化的大规模分析的亚细胞定位的蛋白质。确定蛋白质的亚细胞定位是鉴定蛋白质功能的一个组成部分，生物信息学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量的图像数据集，并且将受益于大型、注释良好且高度可用的图像和相关元数据库。 描述 酵母资源中心公共图像库（YRC PIR）是一个描述蛋白质亚细胞定位和共定位的大型图像数据库。 YRC PIR专为需要大量图像的计算生物学家设计，包含来自近85，000个独立实验及其相关实验数据的532，182张TIFF图像。 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，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，研究人员可以找到，查看和下载许多图像和相关的元数据，这些图像和元数据以符合标准的格式描述了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。