Research Support Core C: Functional Genomics and Bioinformatics Core

研究支持核心 C：功能基因组学和生物信息学核心

• 批准号: 8845303
• 负责人: FERDERICO M FARIN
• 金额: $ 1.87万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-09 至 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8845303
• 关键词: Basic Science; Bioinformatics; Biological; Biological Assay; Biological Markers; Biomedical Research; Consultations; Data Analyses; Detection; Diagnostic; Disease; Environment; Enzyme-Linked Immunosorbent Assay; Evaluation; Gene Expression; Gene Expression Profiling; Generations; Genes; Genetic; Genomics; Hazardous Substances; Health; Human; Image; Individual; Laboratories; Measurement; Methodology; Methods; Molecular Biology; Monitor; Nucleic Acids; Ontology; Pathway interactions; Proteins; Proteomics; Research; Research Personnel; Research Support; Services; Superfund; Techniques; Technology; Universities; Washington; Weight; base; cost effective; data mining; design; functional genomics; instrumentation; neurotoxic; novel; population based; programs; tool

The long term objective of the Functional Genomics and Bioinformatics Core Laboratory (FGBCL) is to provide a variety of genomics-based assays, basic proteomic measurements, and bioinformatic analyses in a cost-effective and efficient manner, therefore maximizing the availability of these important tools for all five individual UW SBRP investigators. The FGBCL will furnish microarray-based gene-centric transcript expression analysis (using Affymetrix arrays and/or NimbleGen arrays), ELISA-based measurements, quantitative gene expression evaluations, and bioinformatic analyses of data including the topGO weight method, gene set analysis, and PAINT. The FGBCL services to four investigators (Drs Furlong, Checkoway, Zhang, and Gallagher) will support the specific Biomedical Research objective through

功能基因组学和生物信息学核心实验室（FGBCL）的长期目标是以具有成本效益和高效的方式提供各种基于基因组学的测定、基本蛋白质组学测量和生物信息学分析，从而最大限度地提高这些重要工具的可用性所有五名UW SBRP研究人员。FGBCL将提供基于微阵列的以基因为中心的转录本表达分析（使用Affyssin阵列和/或NimbleGen阵列），基于ELISA的测量，定量基因表达评估和数据的生物信息学分析，包括topGO权重方法，基因集分析和PAINT。FGBCL为四名研究者（Furlong、Checkoway、Zhang和Gallagher博士）提供的服务将通过以下方式支持特定的生物医学研究目标：