The Cancer Bioinformatics Initiative: A UTSA/UTHSCSA Partnership (2 of 2)

描述（由申请人提供）：复杂的数据密集型技术的快速发展创造了对训练有素的信息科学家和计算生物学家的日益增长的需求，特别是在癌症研究领域。一个跨机构的努力，以支持国家的最先进的培训在计算生物学和生物信息学在圣安东尼奥已经组装了一个经验丰富的教师小组，以开发一个独特的教育培训计划，在生物信息学和计算生物学与癌症研究社区的需求为重点。该计划将为学生和教师提供机会，在德克萨斯大学圣安东尼奥（UTSA），少数民族服务机构，通过直接与癌症治疗和研究中心（CTRC）在德克萨斯大学健康科学中心在圣安东尼奥（UTHSCSA），NCI指定的癌症中心癌症中心成员互动获得相关经验。这种互动还将为UTHSCSA癌症研究人员提供两个校区的定量科学家所需的计算分析和建模帮助。还计划为生物学家和定量科学家的混合受众提供计算生物学培训的强化短期课程/讲习班。因此，总共提出了三个方案，都侧重于教育。这些方案将包括：1）计算生物学/生物信息学研究生教育; 2）带薪实习计划;和3）继续教育机会。该提案的一个独特之处是使用癌症和健康差异方面的真实的数据和研究问题，为方案1的研究生教育提供背景，为方案2的参与者提供基本技能，并为方案3的更广泛受众提供实践活动。这种多焦点的方法应加强癌症中心和少数民族服务机构之间的互动。这些努力最终将导致提交R25申请。

DESCRIPTION (provided by applicant): The rapid evolution of sophisticated data-intensive technologies has created a growing need for well-trained informatics scientists and computational biologists particularly in the field of cancer research. An inter-institutional effort to support state-of-the art training in computational biology and bioinformatics in San Antonio has assembled an experienced group of faculty in order to develop a unique educational training program in bioinformatics and computational biology with an emphasis on the needs of the cancer research community. This program will provide opportunities for students and faculty at the University of Texas at San Antonio (UTSA), a minority serving institution, to gain relevant experience by interacting directly with cancer center members at the Cancer Therapy and Research Center (CTRC) at the University of Texas Health Science Center at San Antonio (UTHSCSA), an NCI designated Cancer Center. The interaction will also provide UTHSCSA cancer researchers with needed computational analysis and modeling assistance from quantitative scientists across both campuses. Additional opportunities will be provided for intensive short courses/workshops for computational biology training aimed for a mixed audience of biologists and quantitative scientists is also planned. Thus, a total of three programs are proposed that are all focused on education. The programs will include: 1) Computation Biology/Bioinformatics Graduate Education; 2) Paid Internship Program; and 3) Continuing Education Opportunities. A unique aspect of the proposal is the use of real data and research questions in cancer and health disparities to provide a context for the graduate education of program 1, the basic skill sets for participants in program 2, and the hands-on activities for the broader audience of program 3. This multifocal approach should strengthen the interaction between the cancer center and the minority servicing institution. These efforts will ultimately lead to the submission of an R25 application.