Core--Informatics, Biostatistics and data management

该核心将为研究项目、其他核心和高通量微创辐射生物剂量测定中心的试点项目提供各种信息学和生物统计分析支持。该核心还将为所有联盟成员之间的数据交换提供集中、安全的托管。除了下面描述的更具体的生物信息学问题，该核心将在实验设计和统计数据分析方面提供一般统计支持。该核心还将在审查拟议的试点项目方面发挥核心作用。Core的核心成员是TGen的Jeffrey Trent和Michael Bittner，以及哥伦比亚大学的Marianthi Markatou，他们都在各自的领域拥有国际声誉。直接的分析工作将集中在信息学和专门的统计支持上，以努力开发基于淋巴细胞基因表达的生物剂量计(项目2)和基于体液小分子生产的生物剂量计(项目3)。为了使生物标记物能够用作生物剂量计，重要的是能够确定标记物测量在多大程度上准确和有效地根据受照个人所受的辐射剂量对其进行分类。要做到这一点，该联盟必须能够迅速找到那些不仅将类别分开，而且对个体间差异和检测噪声具有最大抵抗力的标记。该联盟还将受益于清楚地了解细胞对辐射反应的基本机制如何在所提议的各种分析中产生可测量的结果。与功能基因组学核心和项目3协调一致，该核心将在大多数这些分析中分析来自反应细胞的功能基因组和代谢测量。这将允许评估不同系统中基因组/新陈代谢反应的共同和不同方面，并帮助我们辨别测量在哪里 提供补充或冗余信息。总而言之，该核心将提供对项目2和项目3的成功至关重要的生物信息学，并将在实验设计和数据分析方面为所有联盟成员提供统计支持。

This Core will provide a variety of informatics and biostatistical analytic support to the Research Projects, other Cores, and the Pilot Projects of the Center for High-Throughput Minimally-Invasive Radiation Biodosimetry. This Core will also provide central, secure hosting for data exchange among all Consortium members. As well as more specific bioinformatics issues described below, this Core will provide general statistical support in terms of experimental design, and statistical data analysis. This Core will also have a central role in the review of proposed Pilot Projects. Central members of the Core are Jeffrey Trent and Michael Bittner at TGen, and Marianthi Markatou at Columbia University, all of whom have international reputations in their field. Direct analytic efforts will center on informatics and specialized statistical support of efforts to develop biodosimeters based on gene expression in lymphocytes (Project 2) and small molecule production in body fluids (Project 3). In order for biomarkers to be useful as biodosimeters, it is important to be able to determine how accurately and effectively the marker measurements allow classification of irradiated individuals on the basis of the radiation doses they have sustained. To do this the Consortium will have to be able to rapidly find those markers that not only separate the classes, but those which do so with the greatest resistance to inter-individual variation and assay noise. The Consortium will also benefit from a clear understanding of the ways in which the fundamental mechanisms of cellular response to radiation give rise to the measurable outcomes in the various assays proposed. In concert with the functional genomics Core and also with Project 3, this Core will analyze functional genomic and metabolomic measurements from the responding cells in most of these assays. This will allow assessments of the common and differential aspects of the genomic/metabolomic response in the various systems, and help us discern where the measurements provide complementary or redundant information. In summary, this Core will provide the bioinformatics that will be crucial to the success of Projects 2 and 3, and will provide statistical support in terms of experimental design and data analysis for all Consortium members.