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咨询统计和生物信息学方面的专家协作、数据管理软件以及通过与数据解释基本工具的连接而定制的分析工作流程。该核心将提供许多研究项目所需的计算能力，并通过集中支持，促进所有项目的数据集成和传播。Core C的目标是通过三个主要目标提供数据管理和分析：1）用于实验设计，生物标志物发现和多变量数据分析的统计学，2）用于重建调控途径，跨物种外推和跨项目数据集成的生物信息学，以及3）在计算基础设施上集成数据存储和管理软件，以支持数据密集型挖掘和分析方法。核心提供来自多学科团队的专业知识，他们在统计学，生物信息学和计算机科学方面具有专业知识，为研究项目和核心提供最佳方法和软件。的 集中的数据管理组织还将促进研究项目之间的数据共享，并将促进数据向公共数据库的传播，例如NIEHS生物系统知识库中的化学效应和NCBI的基因表达综合数据库。核心C还将为该计划的博士后研究员提供统计和生物信息学交叉培训的机会。

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.