Integrated Bioinformatic Analysis of Genomic Datasets

基因组数据集的综合生物信息学分析

• 批准号: 6973370
• 负责人: RAKESH NAGARAJAN
• 金额: $ 16.2万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-30 至 2008-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6973370
• 关键词: acute monocytic leukemia; bioinformatics; biomarker; biomedical automation; computational biology; computer data analysis; computer program /software; disease /disorder etiology; functional /structural genomics; gene expression profiling; human data; information retrieval; molecular biology information system; neoplasm /cancer diagnosis; nucleic acid quantitation /detection; prostate neoplasms; proteomics; rapid diagnosis; therapy design /development

DESCRIPTION: The two objectives of this application are to support my training as a clinical and biomedical informatician and to develop and utilize software applications that will perform integrated analyses of functional genomic datasets with clinical data and gene annotation. This award will facilitate my transition into an independent investigator by providing bioinformatics training under the mentorship of Dr. Gary Stormo, Professor of Genetics at Washington University. Dr. Stormo is ideally suited to be my mentor because his laboratory has extensive experience in developing and using computational biology and bioinformatics tools and because he has all the resources already in place to facilitate the successful completion of this application. He has also demonstrated the ability to be a good mentor by serving as one to past research career award recipients. A didactic program in computational biology will complement the intellectual environment provided by Dr. Stormo's laboratory, the meetings with other collaborators on this project, and national conferences in the field of bioinformatics. The goal of biomedical research is to uncover perturbations in important pathways that lead to disease states so that therapeutic treatments may be designed. It is clear that most diseases are caused by alterations at one or more levels of the genetic program. Only through simultaneous monitoring of DMA, RNA, and protein can the comprehensive understanding of underlying processes occurring in multi-factorial diseases be made. While there is a great need to analyze data derived from such genome-wide profiling experiments with that ascertained from clinical data simultaneously, there are no software applications which can effectively perform this task. The specific aims of this proposal are to develop a novel application to concurrently analyze and visualize functional genomic datasets with clinicopathology patient data and gene annotation using advanced statistical algorithms and to utilize this software to analyze data from two ongoing studies in myeloid leukemia and prostate cancer. Such combinatorial analyses will facilitate the identification of previously underappreciated pathways and molecular markers which may be used to design diagnostic assays and customized therapies.

描述： 该应用程序的两个目标是支持我作为临床和生物医学信息学家的培训，并开发和利用软件应用程序，对功能基因组数据集与临床数据和基因注释进行集成分析。该奖项将通过在华盛顿大学遗传学教授加里·斯托莫博士的指导下提供生物信息学培训，促进我向独立研究者的转变。 Stormo 博士非常适合成为我的导师，因为他的实验室在开发和使用计算生物学和生物信息学工具方面拥有丰富的经验，并且因为他拥有促进成功完成此应用程序的所有资源。他还通过担任过去的研究职业奖获得者之一，展示了成为一名优秀导师的能力。计算生物学的教学计划将补充斯托莫博士实验室提供的知识环境、与该项目其他合作者的会议以及生物信息学领域的全国会议。 生物医学研究的目标是发现导致疾病状态的重要途径的扰动，以便设计治疗方法。很明显，大多数疾病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DMA、RNA和蛋白质，才能全面了解多因素疾病发生的潜在过程。虽然非常需要同时分析从此类全基因组分析实验获得的数据以及从临床数据确定的数据，但没有可以有效执行此任务的软件应用程序。该提案的具体目标是开发一种新颖的应用程序，使用先进的统计算法同时分析和可视化功能基因组数据集、临床病理学患者数据和基因注释，并利用该软件分析两项正在进行的骨髓白血病和前列腺癌研究的数据。这种组合分析将有助于识别以前未被充分认识的途径和 可用于设计诊断测定和定制疗法的分子标记。