Biostatistics and Informatics Core

生物统计学和信息学核心

基本信息

  • 批准号:
    7727539
  • 负责人:
  • 金额:
    $ 17.41万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2014-06-30
  • 项目状态:
    已结题

项目摘要

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.
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

项目成果

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会议论文数量(0)
专利数量(0)

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MARTIN MCINTOSH其他文献

MARTIN MCINTOSH的其他文献

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{{ truncateString('MARTIN MCINTOSH', 18)}}的其他基金

Profiling cancer neoantigen repertoires and validating immunotherapy targets
分析癌症新抗原库并验证免疫治疗靶点
  • 批准号:
    8865578
  • 财政年份:
    2013
  • 资助金额:
    $ 17.41万
  • 项目类别:
Profiling cancer neoantigen repertoires and validating immunotherapy targets
分析癌症新抗原库并验证免疫治疗靶点
  • 批准号:
    8656668
  • 财政年份:
    2013
  • 资助金额:
    $ 17.41万
  • 项目类别:
Profiling cancer neoantigen repertoires and validating immunotherapy targets
分析癌症新抗原库并验证免疫治疗靶点
  • 批准号:
    9070627
  • 财政年份:
    2013
  • 资助金额:
    $ 17.41万
  • 项目类别:
Profiling cancer neoantigen repertoires and validating immunotherapy targets
分析癌症新抗原库并验证免疫治疗靶点
  • 批准号:
    8495657
  • 财政年份:
    2013
  • 资助金额:
    $ 17.41万
  • 项目类别:
Developmental Research Program
发展研究计划
  • 批准号:
    7727540
  • 财政年份:
    2009
  • 资助金额:
    $ 17.41万
  • 项目类别:
BIOMEDICAL (BASIC)
生物医学(基础)
  • 批准号:
    7938473
  • 财政年份:
    2009
  • 资助金额:
    $ 17.41万
  • 项目类别:
Affinity-based Seurm Proteomics: Breast/Ovarian Cancer
基于亲和力的 Seurm 蛋白质组学:乳腺癌/卵巢癌
  • 批准号:
    7280310
  • 财政年份:
    2005
  • 资助金额:
    $ 17.41万
  • 项目类别:
Affinity-Based Serum Proteomics: Breast and Ovarian Can*
基于亲和力的血清蛋白质组学:乳腺癌和卵巢癌*
  • 批准号:
    7003892
  • 财政年份:
    2005
  • 资助金额:
    $ 17.41万
  • 项目类别:
Affinity-based Seurm Proteomics: Breast/Ovarian Cancer
基于亲和力的 Seurm 蛋白质组学:乳腺癌/卵巢癌
  • 批准号:
    7668583
  • 财政年份:
    2005
  • 资助金额:
    $ 17.41万
  • 项目类别:
Affinity-based Seurm Proteomics: Breast/Ovarian Cancer
基于亲和力的 Seurm 蛋白质组学:乳腺癌/卵巢癌
  • 批准号:
    7482483
  • 财政年份:
    2005
  • 资助金额:
    $ 17.41万
  • 项目类别:

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