Core C: Statistics and Bioinformatics Research Support Core

核心 C：统计和生物信息学研究支持核心

• 批准号: 7624077
• 负责人: Katrina M. Waters
• 金额: $ 43.13万
• 依托单位: OREGON STATE UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7624077
• 关键词: Analytical Chemistry; Animal Model; Bioinformatics; Biological; Biological Markers; Characteristics; Chemicals; Collaborations; Computer software; Data; Data Analyses; Data Sources; Data Storage and Retrieval; Databases; Environmental Exposure; Experimental Designs; Gene Expression; Gene Targeting; Goals; Health; Human; Metadata; Methods; Mining; Molecular; National Institute of Environmental Health Sciences; Particulate; Pathway interactions; Pattern Recognition; Postdoctoral Fellow; Prevention; Regulatory Pathway; Research; Research Personnel; Research Project Grants; Research Support; Retrieval; Risk; Risk Assessment; Sampling; Scientist; Secure; Services; Structure; System; Therapeutic Intervention; Tissues; Toxic effect; Training; biological systems; chemical fingerprinting; computer infrastructure; computer science; data integration; data management; data sharing; experimental analysis; knowledge base; new technology; programs; reconstruction; response; statistics; tool

The Statistics and Bioinformatics Core will provide project investigators with expert collaboration for consultative statistics and bioinformatics, software for data management, and customized analysis workflows through connectivity to essential tools for data interpretation. This Core will provide computational capabilities that many of the Research Projects need and, through the centralized support, will facilitate data integration and dissemination across all Projects. The objective of Core C is to provide data management and analysis through three primary goals: 1) statistics for experimental design, biomarker discovery and multivariate data analyses, 2) bioinformatics for reconstruction of regulatory pathways, cross-species extrapolations and data integration across projects, and 3) integrated data storage and management software on a computational infrastructure to support data intensive mining and analysis methods. The Core provides expertise from a multi-disciplinary team with expertise in statistics, bioinformatics and computer science to bring the best methods and software available to the research projects and cores. The centralized data management organization will also promote data sharing across research projects and will facilitate the dissemination of data to public databases, such as the NIEHS Chemical Effects in Biological Systems Knowledge Base and NCBI's Gene Expression Omnibus. Core C will also provide training opportunities for post-doctoral fellows in the Program to cross-train in statistics and bioinformatics.

统计和生物信息学核心将为项目研究人员提供专家协作 咨询统计和生物信息学、数据管理软件以及定制分析工作流程 通过连接到数据解释的基本工具。该核心将提供计算 许多研究项目需要的能力，并且通过集中支持，将促进数据 跨所有项目的整合和传播。 Core C的目标是提供数据管理 通过三个主要目标进行分析：1）实验设计、生物标志物发现和 多变量数据分析，2）用于重建跨物种调控途径的生物信息学 跨项目的推断和数据集成，以及 3) 集成的数据存储和管理 计算基础设施上的软件，支持数据密集型挖掘和分析方法。核心 提供来自具有统计学、生物信息学和计算机专业知识的多学科团队的专业知识 科学为研究项目和核心带来最好的方法和软件。这 集中数据管理组织还将促进研究项目之间的数据共享，并将 促进数据传播到公共数据库，例如 NIEHS 生物化学效应 系统知识库和 NCBI 的基因表达综合库。 Core C也将提供培训 该计划为博士后研究员提供统计学和生物信息学交叉培训的机会。