Integrated Bioinformatic Analysis of Genomic Datasets

产品说明： 这个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，将执行功能基因组数据集与临床数据和基因注释的综合分析。这个奖项将促进我的过渡到一个独立的调查员，提供生物信息学培训博士指导下加里斯托莫，遗传学教授在华盛顿大学。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，并且他已经拥有所有资源来促进成功完成此应用程序。他还通过担任过去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Stormo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国家会议。 生物医学研究的目标是揭示导致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中发生的潜在过程。虽然非常需要同时分析从这种全基因组谱分析实验得到的数据和从临床数据确定的数据，但是没有软件应用程序可以有效地执行该任务。该提案的具体目标是开发一种新的应用程序，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与临床病理学患者数据和基因注释，并利用该软件分析来自两项正在进行的骨髓性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， 可用于设计诊断测定和定制疗法的分子标记物。

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.