Core B: Functional Annotation Core

核心 B：功能注释核心

• 批准号: 10411244
• 负责人: Huaiyu Mi
• 金额: $ 21.96万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10411244
• 关键词: Benchmarking; Bioinformatics; Biology; Classification; Communities; Computer Security; Computer software; Data; Data Security; Data Set; Databases; Education and Outreach; Educational workshop; Enhancers; Ensure; Funding; Genes; Genetic; Genomics; Goals; Haplotypes; Infrastructure; Link; Malignant Neoplasms; Modeling; Ontology; Pathway interactions; Performance; Process; Proteins; Quality Control; Research; Research Personnel; Resources; Scientist; Security; Series; Source; Statistical Methods; System; Training; Training Support; Update; Variant; Work; annotation system; bioinformatics infrastructure; cyber security; data integrity; data quality; dbSNP; design; gene function; improved; meetings; member; method development; novel; outreach; programs; symposium; tool; trafficking; web site; webinar

CORE B: Functional Annotation Core ABSTRACT The ultimate goal of the Program is to develop novel statistical methods to study cancer. One important aspect of it is to understand the biology, or function, underlying the large amount of data that will be analyzed. All four projects in this program will deal with large amount genetic and protein data. Functional annotations to these datasets will be crucial for each project to properly analyze the data and interpret the results. In the current funding period, the Core developed an integrated annotation query system (AnnoQ, www.annoq.org) that incorporates existing external annotation tools and resources, as well as in-house annotation infrastructure, including Peregrine (www.peregrineproj.org), an enhancer to gene link database developed by this core. The system allows researchers to quickly retrieve annotation data through either an interactive user interface or a programmatic API. It is currently in beta release and is being used by many researchers within USC. We will continue to improve the system by focusing on data quality, system performance, and user support. It will be our top priority to keep the annotation data up to date, and to maintain high quality and accuracy of the data. Benchmarking studies will be designed to analyze and evaluate the quality of the data. In additional, query software and packages using the AnnoQ system will be developed and made available through Core C. With anticipated increase in data size and user traffic, hardware upgrade and enhancement of internet security will become essential. Finally, regular meetings with program members will allow us to provide proper training and ensure that the system meets their needs.

核心B：功能注释核心 摘要 该计划的最终目标是开发新的统计方法来研究癌症。一 它的一个重要方面是了解大量数据背后的生物学或功能 这将被分析。该计划的所有四个项目都将涉及大量的遗传和 蛋白质数据这些数据集的功能注释对于每个项目正确地 分析数据并解释结果。在本供资期间，核心小组制定了一项 集成注释查询系统（AnnoQ，www.example.com），该系统包含现有的外部 注释工具和资源，以及内部注释基础设施，包括Peregrine （www.example.com），由该核心开发的增强子基因链接数据库。系统 允许研究人员通过交互式用户界面快速检索注释数据， 或编程API。它目前处于测试版，并被许多研究人员使用 在USC。 我们将继续通过关注数据质量、系统性能和 用户支持。我们的首要任务是保持注释数据的最新，并保持高质量。 数据的质量和准确性。将设计基准研究来分析和评价 数据的质量。此外，使用AnnoQ系统的查询软件和软件包将 通过核心C开发和提供。随着数据大小和用户数量的预期增加， 交通，硬件升级和加强互联网安全将变得至关重要。最后， 定期与项目成员开会，使我们能够提供适当的培训，并确保 该系统满足了他们的需求。