Biostatistics and Informatics Core

生物统计和信息学核心(BIC)汇集了生物统计学、信息学和数据库专家 支持各个孢子项目、核心和领导层的信息和分析需求。这个 BIC扮演着两个关键角色。第一是为所有项目和核心提供基本的统计分析支持。 过去这项活动的亮点是制定了质量控制程序和 高通量珠基分析平台的归一化，以及用于组合、 在筛查研究中评估和使用生物标记物。第二个关键角色包括管理来自 项目和核心。这种活动的亮点是发展了一种综合信息学 该系统目前维护着来自我们的3000名女性的200,000多个独特样本的数据 研究，包括所有相关的临床、流行病学和研究化验数据，以及协调 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 促进高质量的数据分析。具体的统计研究支助将包括修订方法。 在筛查研究(前瞻性筛查项目)中使用超过FIME的多个生物标志物，以及 发现多基因成分模式(CP)的统计技术的发展。特定的 数据管理的发展包括管理标本存储库数据的新方法(所有 项目)，扩展基于网络的信息学系统，以支持信息学协调的工作 项目一中心S新标记随机对照试验，扩大支持管理一期 项目2和5中描述的临床试验，并完成了我们为获得caBlG依从性所做的努力。 由于BIC信息学系统的经验和能力，我们被GenLogics选中 作为其下一代综合信息系统的开发伙伴，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我们将在2009年过渡到GenLogics平台。GenLogics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.