Core--Informatics

描述（由申请人提供）：信息学核心（IC）汇集了生物统计学， 信息学和数据库专家，以支持个人的信息和分析需求 孢子项目。我们已经开发了一个全面的信息系统，目前维护着来自1,200名妇女的近20,000份标本的数据。IC还为利用这些标本的各种研究提供了分析支持，导致了几篇发表和提交的涉及定量问题的手稿，包括微阵列数据的分析。IC目前正在扩展我们的信息系统，以允许通过虚拟共享标本库（VSSR）访问标本相关信息，该库允许研究人员同时访问FHCRC，Cedars-Sinai和其他合作机构的标本库中的标本信息。此外，我们在InterSPORE活动中发挥了主导作用，主持了InterSPORE信息委员会，并编写了一份共享样本报告，介绍了四个SPORE站点的可用资源。在下一阶段，信息中心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。计划包括继续提供标本库数据管理（所有项目），开发信息系统以管理1期临床试验（免疫治疗项目），开发患者跟踪系统，以支持调查性筛选试验（早期检测和风险模型项目），并继续分析微阵列和基因组学数据，包括开发新的统计技术，用于发现多基因组分模式（CP）（早期检测，分子靶点和发展研究项目）。

DESCRIPTION (provided by applicant): The Informatics Core (IC) brings together biostatistical, informatics and database experts to support the information and analysis needs of the individual SPORE projects. We have developed a comprehensive informatics system that currently maintains data for nearly 20,000 specimens from 1,200 women. The IC has also provided analytic support for a variety of studies that have utilized these specimens, resulting in several published and submitted manuscripts dealing with quantitative issues, including the analysis of micro array data. The IC is currently expanding our informatics system to allow web-enabled access to specimen related information through a Virtual Shared Specimen Repository (VSSR) that allows researchers to simultaneously access information about specimens in repositories at FHCRC, Cedars-Sinai and other collaborating institutions. In addition, we have taken a lead role in InterSPORE activities by chairing the InterSPORE Informatics Committee and developing a shared specimen report that describes resources available at the four SPORE sites. During the next phase the IC will continue to manage each project's information needs and assist in facilitating high quality data analysis. Plans include to continue to provide specimen repository data management (all projects), development of information systems to manage Phase 1 clinical trials (Immunotherapy project), development of a patient tracking system to support an investigational screening trial (Early Detection and Risk Model projects), and continued analysis of microarray and genomics data, including the development of new statistical techniques for the discovery of multigene Component Patterns (CPs)(Early Detection, Molecular Targets & Developmental Research projects).