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/.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此，可以在其他清晰的条目中表示。列出的机构是 对于中心，这不一定是调查员的机构。 背景 对分析荧光显微镜图像的计算方法的开发产生了越来越多的兴趣，并能够对蛋白质亚细胞定位进行自动分析。确定亚细胞定位是识别蛋白质功能不可或缺的一部分，并且生物信息学对此问题的应用为蛋白质组注释提供了有价值的工具。 图像分析研究中使用的培训和验证算法通常依赖于大量图像数据，并将受益于图像和相关元数据的大型，通知和高度可用的数据库。 描述 酵母资源中心公共图像存储库（YRC PIR）是描述蛋白质亚细胞定位和共定位的图像的大数据库。 YRC PIR专为需要大量图像的计算生物学家而设计，其中包含来自近85,000个独立实验的532,182个TIFF图像及其相关的实验数据。 所有图像和相关数据均可通过直观的Web界面搜索，结果可浏览。 可以将搜索结果，实验，单个图像或整个数据集作为符合标准的OME-TIFF数据下载。 结论 YRC PIR是研究人员以符合标准格式的蛋白质或类别的蛋白质或类别的蛋白质的亚细胞定位和共定位，以查找，查看和下载许多图像和相关的元数据的强大资源。 YRC PIR可以在http://images.yeastrc.org/上免费获得。