Indiana Program of Excellence in Biomedical Computing

描述(由申请人提供)：计算机和生物科学家的密切合作一直是许多最近的生物学发现的重要组成部分。然而，研究企业对计算机工具、应用系统、工具和算法以及标准的需求远远超出了目前可用的范围。我们提出了印第安纳生物医学计算卓越计划，该计划最初将建立在Regenstrief研究所和印第安纳大学医学院的研究人员的医学信息学和基础科学优势的基础上，他们将与IUPUl的计算机科学研究人员一起开发一个积极的教育和规划计划，旨在促进印第安纳大学和普渡大学的生物医学信息学和生物信息学领域的发展。此外，这些研究人员将在三个开发项目中追求以下目标：1)标准化正在进行的遗传和临床数据收集，作为正在进行的疾病病因学研究的一部分，作为开放源码关系数据库，并将这些数据连接到其他相关研究领域，包括机构电子医疗记录系统(RMRS)。2)以已开发的Bio Sifter为基础，建立方便易用的生物数据，特别是阵列数据和蛋白质组数据与医学文献和生物数据库之间的连接；3)在一项新的肺组织前瞻性研究中实施新开发的关系数据库，以确定化疗反应或耐药的预测因素。在这笔计划拨款结束时，我们预计已经促进了印第安纳大学和普渡大学的生物医学计算和生物信息学的发展，并将开始感兴趣的研究人员之间的关键互动，使我们能够提出一个生物医学计算国家卓越计划，该计划将涵盖生物医学研究的基本领域。

DESCRIPTION (provided by applicant): The close collaboration of computer and biologic scientists has been an essential ingredient in many recent biologic discoveries. However, the research enterprise has a need for computer tools, application systems, tools and algorithms and standards far beyond what is currently available. We propose the Indiana Program of Excellence in Biomedical Computing which will initially build upon the medical informatics and basic science strengths of the investigators at the Regenstrief Institute and Indiana University School of Medicine who will join with computer science researchers at IUPUl to develop an active education and planning program designed to advance the field of biomedical informatics and bioinformatics at Indiana University and Purdue University. In addition, these researchers will pursue the following goals in three Development Projects: 1) To standardize the ongoing collection of genetic and clinical data being obtained as part of ongoing studies of disease etiology, as an open source relational database and connect these data to other relevant research domains including the institutional electronic medical record system (RMRS). 2) To develop a convenient and easy to use connection between biologic data, especially array data and proteomic data on the one hand, the medical literature and biologic data bases on the other, using the already developed Bio Sifter as the base; 3) To implement the newly developed relational database in a novel prospective study of lung tissue to identify predictors of chemotherapy response or resistance. At the conclusion of this planning grant we anticipate having fostered the growth of biomedical computing and bioinformatics at Indiana University and Purdue University and will have commenced the critical interactions among interested researchers allowing us to propose a National Program of Excellence in Biomedical Computing which will encompass the essential areas of biomedical research.