Function Annotation Core

函数注释核心

• 批准号: 9072854
• 负责人: Huaiyu Mi
• 金额: $ 24.01万
• 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 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9072854
• 关键词: Bioinformatics; Biology; Colon Carcinoma; Colorectal Cancer; Computer software; Data; Data Analyses; Data Set; Data Storage and Retrieval; Educational workshop; Environmental Exposure; Gene Proteins; Genes; Genetic; Genetic Annotation; Genetic Variation; Genome; Genomics; Goals; Housing; Malignant Neoplasms; Methodology; Nucleotides; Ontology; Pathway interactions; Proxy; Public Domains; Research; Research Infrastructure; Research Personnel; Resources; Site; Software Tools; Source; Statistical Methods; System; The Cancer Genome Atlas; Training; Update; Variant; Work; abstracting; genetic variant; genomic data; interest; member; method development; microbial; microbiome; programs; software development; tool; user-friendly; web interface

Abstract The ultimate goal of the Program is to develop methodologies 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. The four projects in this Program will deal with data and annotations at different levels. For example, genetic variation data will be analyzed in Project 1, gene and protein data is used in Project 2, 3 and 4, while microbiome and metabolites data is used in Project 3. Functional annotations to these datasets will be crucial for each project to properly analyze the data and interpret the results. The key focus of Core B is to support these projects by providing resources to annotate the data. The Core will work very closely with Core D (Data analysis and software development), which provides support in centralized data storage. The project will leverage the existing in-house annotation tools, for example, ANNOVAR for genetic variant annotation and PANTHER for gene/protein annotation, and identify external resources, prioritize and build an integrative and comprehensive infrastructure for annotation. The system will allow us to annotate and re-annotate data that are brought into the Program by Core D. It is crucial to maintain all annotations up to date, so it should make frequently updates from the source. It should also have a user-friendly interface to allow members in the Program to annotate the data while they are generating them, browse and identify the data of interest and retrieve shared results by other researchers.

摘要