Core B: Functional Annotation Core

核心 B：功能注释核心

• 批准号: 10707473
• 负责人: Huaiyu Mi
• 金额: $ 21.94万
• 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/10707473
• 关键词: Benchmarking; Bioinformatics; Biology; Classification; Communities; Computer Security; Computer software; Data; Data Security; Data Set; Databases; Educational workshop; Enhancers; Ensure; Funding; Genes; Genetic; Genomics; Goals; Haplotypes; Happiness; 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; 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 抽象的 该计划的最终目标是开发研究癌症的新型统计方法。一 其重要方面是了解大量数据的生物学或功能 这将进行分析。该计划中的所有四个项目都将处理大量遗传和 蛋白质数据。对这些数据集的功能注释对于每个项目都至关重要 分析数据并解释结果。在当前的资金期间，核心发展了 集成注释查询系统（Annoq，www.annoq.org），合并现有外部 注释工具和资源以及内部注释基础架构，包括经济 （www.peregrineproj.org），该核心开发的基因链接数据库的增强子。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 或程序化API。它目前正在Beta版本中，许多研究人员正在使用 在USC内部。 我们将通过关注数据质量，系统性能和 用户支持。将注释数据保持最新并保持较高的注释数据将是我们的首要任务 数据的质量和准确性。基准研究将旨在分析和评估 数据的质量。另外，使用Annoq系统的查询软件和软件包将 可以通过CoreC开发并提供。随着数据大小和用户的预期增加 流量，硬件升级和互联网安全性的增强将变得至关重要。最后， 与计划成员的定期会议将使我们能够提供适当的培训并确保 该系统满足他们的需求。