Core--Informatics

描述(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，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学系统，目前维护着1200名妇女近20,000个标本的数据。该中心还为利用这些标本的各种研究提供了分析支助，从而出版和提交了几份涉及定量问题的手稿，包括对微阵列数据的分析。中心目前正在扩展我们的信息学系统，允许通过虚拟共享标本储存库(VSSR)通过网络访问与标本相关的信息，该虚拟共享标本储存库允许研究人员同时访问FHCRC、Cedars-Sinai和其他合作机构的储存库中的标本信息。此外，我们在SPORE间活动中发挥了带头作用，担任了SPORE间信息学委员会的主席，并开发了一份共享的样本报告，描述了四个孢子站点的可用资源。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储存库数据管理(所有项目)，开发管理第一阶段临床试验的信息系统(免疫治疗项目)，开发患者跟踪系统以支持调查性筛查试验(早期检测和风险模型项目)，以及继续分析微阵列和基因组数据，包括为发现多基因成分模式开发新的统计技术(早期检测、分子靶标和发展研究项目)。

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).