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: 7124709
• 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/7124709
• 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医生的培训，并开发和利用软件应用程序，这些应用程序将对功能基因组数据集进行临床数据和基因注释的功能基因组数据集进行综合分析。该奖项将通过在华盛顿大学遗传学教授Gary Stormo博士的指导下提供生物信息学培训来促进我向独立研究者的过渡。 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，并且因为他已经拥有所有资源来促进该应用程序的成功完成。他还通过担任过去的研究职业奖获得者，证明了成为一名好导师的能力。计算生物学的教学计划将补充Stormo博士实验室提供的智力环境，与该项目的其他合作者的会议以及生物信息学领域的民族会议。 生物医学研究的目的是在导致疾病状态的重要途径中发现扰动，以便设计治疗性治疗。显然，大多数疾病是由一个或多个遗传程序级别的改变引起的。只有通过同时监测DMA，RNA和蛋白质，才能全面理解多因素疾病中发生的潜在过程。尽管非常需要分析从同时从临床数据中确定的全基因组分析实验中得出的数据，但没有可以有效执行此任务的软件应用程序。该提案的具体目的是开发一种新的应用，以使用先进的统计算法同时分析和可视化功能性基因组数据集，并使用临床病理学患者数据和基因注释，并利用该软件来分析来自髓样白血病和前列腺癌的两项正在进行的研究的数据。这种组合分析将有助于鉴定以前未经审计的途径和 分子标记物可用于设计诊断测定和定制疗法。