Core--Bioinformatics Facility

核心--生物信息学设施

基本信息

批准号：
7674624
负责人：
TIMOTHY J EBERLEIN
金额：
$ 25.32万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/7674624
关键词：
Algorithms Bioinformatics Cancer Center Cancer Etiology Clinical Clinical Data Complex Computers DNA Data Data Analyses Data Set Databases Development Diagnosis Diagnostic Disease Educational Status Functional disorder Gene Expression Profiling Genes Genetic Programming Genomics Genotype Goals Human Genome Project Imagery Individual Informatics Laboratories Lead Link Maintenance Molecular Monitor Pathway interactions Patient Care Patients Phenotype Process Proteins Proteomics Research Personnel Resources Retrieval Scientist Techniques Therapeutic Visual Work anticancer research cancer Biomedical Informatics Grid cancer therapy combinatorial computer science data management design functional genomics genetic linkage high throughput screening innovation novel programs research study skills statistics therapeutic target tool tumor tumorigenesis

项目摘要

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发现导致肿瘤疾病状态的重要途径的扰动，以便设计治疗方法。很明显，大多数癌症是由基因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发生的潜在过程。虽然非常需要将功能基因实验的数据与患者临床数据确定的数据整合起来，但单独有效地执行这项任务通常超出了大多数临床医生和研究人员的能力范围。因此，该核心的目标是建立一个新颖的关系数据库，以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来综合分析这些数据，并将这些应用程序提供给参与临床和/或分子癌症研究的研究人员。这种组合、视觉和统计分析将有助于更好地理解肿瘤发生的复杂病理生理学，并将有助于识别这些疾病的潜在诊断标志物和治疗靶点。