Core C: Statistics and Bioinformatics Research Support Core

统计和生物信息学核心将为项目调查人员提供以下方面的专家协作 咨询统计和生物信息学、数据管理软件和定制分析工作流程 通过连接到数据解释的基本工具。该核心将提供计算能力 许多研究项目需要的能力，并将通过集中支持促进数据 在所有项目中进行整合和传播。核心C的目标是提供数据管理 并通过三个主要目标进行分析：1)实验设计、生物标记物发现和 多变量数据分析，2)跨物种调节通路重建的生物信息学 跨项目的推断和数据集成，以及3)集成的数据存储和管理 基于计算基础设施的软件，用于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。这个 集中式数据管理组织还将促进跨研究项目的数据共享，并将 促进将数据传播到公共数据库，如NIEHS生物化学效应 系统知识库与NCBI的基因表达总览。核心C还将提供培训 该计划的博士后研究员有机会在统计学和生物信息学方面进行交叉培训。

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.