Biostatistics and Informatics Core

生物统计学和信息学核心（BIC）汇集了生物统计学，信息学和数据库专家 支持各个SPORE项目、核心和领导力的信息和分析需求。的 BIC扮演两个关键角色。一是为所有项目和岩心提供基本的物理分析支持。 过去这项活动的重点是制定质量控制程序， 基于高通量珠的测定平台的标准化，以及用于组合， 在筛选研究中评估和使用生物标志物。第二个关键角色包括管理来自 项目和核心。这一活动的亮点是发展了一个全面的信息学 该系统目前保存着来自3000名女性的20多万份独特标本的数据，这些标本来自我们的 研究，包括所有相关的临床、流行病学和研究分析数据，以及 几次孢子间的合作' 在下一阶段，BIC将继续管理每个项目的信息需求，并协助 有助于高质量的数据分析。具体的统计研究支助将包括修订方法 在筛选研究中使用多种生物标志物（前瞻性筛选项目），以及 发展了用于发现多基因组分模式（CP）的生物技术。具体 数据管理的发展包括管理标本库数据的新方法（所有 项目），扩大基于网络的信息系统，以支持信息协调委员会的工作。 项目1的新型标记物随机对照试验中心，扩大对管理第1阶段的支持 项目2和5中描述的临床试验，并完成我们的努力，以获得CABLG的依从性。 由于BIC信息系统的经验和能力，我们被GenoLogics选中 作为其下一代综合信息系统的开发合作伙伴，包括 样本跟踪、查询和数据共享的组件。在金丝雀基金会的支持下， FHCRC将于2009年过渡到GenoLogics平台。GenoLogics将在全球范围内销售他们的系统。

The Biostatisfics and Infomatics Core (BIC) brings together biostatistical, informatics and database experts to support the informafion and analysis needs ofthe individual SPORE projects, cores, and leadership. The BIC serves two key roles. The first is to provide basic statisfical analysis support to all projects and cores. Highlights of this activity in the past have been the development of procedures for quality control and normalizafion of high throughput bead-based assay platforms, and statisfical methods for combining, evaluafing and using biomarkers in screening studies. The second key role includes managing the data from projects and cores. Highlights of this acfivity has been the development of a comprehensive informatics system that currently maintains data for over 200,000 unique specimens from 3000 women enrolled in our studies, including all associated clinical, epidemiological and research assay data, and coordinafion of several inter-spore collaborations. ' During the next phase the BIC will continue to manage each project's information needs and assist in facilitating high quality data analysis. Specific statistical research support will include the revision of methods for using mulfiple biomarkers over fime in a screening study (prospective screening project), and development of statisfical techniques for the discovery of multigene Component Patterns (CPs). Specific developments for data management include new methods for management of specimen repository data (all projects), expanding the web-based Informatics System to support the work of the Informatics Coordinating Center for Project 1's Novel Markers Randomized Control Trial, expanding support to manage Phase 1 clinical trials described in Projects 2 and 5, and complefing our efforts to obtain caBlG compliance. Because ofthe experience and capabilities ofthe BIC Informatics System, we were selected by GenoLogics to serve as a development partner for their next-generafion comprehensive information system, including components of sample tracking, query, and data sharing. With support from the Canary Foundafion and FHCRC we will transifion to the GenoLogics platform in 2009. GenoLogics will market their system worldwide.