Core--Bioinformatics Facility

核心--生物信息学设施

• 批准号: 6998202
• 负责人: TIMOTHY J EBERLEIN
• 金额: $ 9.62万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-21 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6998202
• 关键词: bioinformatics; biomedical facility; cancer information system; human data; neoplasm /cancer

The goal of biomedical cancer research is to uncover perturbations in important pathways that lead to tumor disease states so that therapeutic treatments may be designed. It is clear that most cancers are caused by alterations at one or more levels of the genetic program. Only through simultaneous monitoring of DNA, RNA, and protein can the comprehensive understanding of underlying processes occurring in these multifactorial diseases be made. While there is a great need to integrate data derived from functional genemic experiments with that ascertained from patient-derived clinical data, it is usually beyond the scope of most clinicians and researchers to effectively perform this task alone. Thus, the aims of this core are to establish a novel relational database to simultaneously store and interlink functional genomic datasets with clinicopathological patient data and gene annotation, to develop innovative analytical and visualization tools for integrated analysis of these data, and to provide these applications to investigators who are involved in clinical and/or molecular cancer research. Such combinatorial, visual and statistical analyses will result in the better understanding of the complex pathophysiology of tumorigenesis and will facilitate the identification of potential diagnostic markers and therapeutic targets for these diseases.

生物医学癌症研究的目标是揭示导致肿瘤疾病状态的重要途径中的扰动，以便设计治疗性治疗。很明显，大多数癌症是由遗传程序的一个或多个水平的改变引起的。只有通过同时监测DNA、RNA和蛋白质，才能全面了解这些多因素疾病中发生的潜在过程。虽然非常需要将来自功能基因实验的数据与从患者来源的临床数据中确定的数据相结合，但通常超出了大多数临床医生和研究人员单独有效执行这项任务的范围。因此，这个核心的目的是建立一个新的关系数据库，同时存储和链接功能基因组数据集与临床病理患者数据和基因注释，开发创新的分析和可视化工具，这些数据的综合分析，并提供这些应用程序的研究人员谁是参与临床和/或分子癌症研究。这样的组合，视觉和统计分析将导致更好地了解复杂的病理生理学的肿瘤发生，并将有助于确定潜在的诊断标志物和治疗这些疾病的目标。