Graduate Training Program in Bioinformatics

生物信息学研究生培养计划 程序摘要 生物学正日益成为一门由信息驱动的科学。要抓住邮政的机遇-- 基因组时代在深化健康科学研究和改善医疗保健方面，有巨大的需求 受过数学和计算机科学训练并能定量思考的生物学家。但是，当前 学科研究生培训计划并不是为了适应生物学领域的这些快速变化而设计的 研究视角。这一需求是专业研究生培养发展的动力 将在生物、工程和计算机科学之间对学生进行培训的课程。致信地址 在这一需求下，加州大学圣地亚哥分校于2001年建立了生物信息学跨学科研究生课程 Shankar Subramaniam博士的董事职务。2008年，它更名为生物信息学研究生课程和 系统生物学和重组。目前的节目导演Trey Ideker博士，Euegene Yeo和Theresa Gaasterland与培训助学金的共同PIs Subramaniam博士、Vineet Bafna和Theresa密切合作 Gaasterland，并有一个积极的指导委员会，由来自所有五个参与的代表教师组成 加州大学圣迭戈分校的学校和学术部门。本次(续期)申请培训补助金的主要目标 由三个联合PI继续和扩大这一顶尖的研究生课程，并支持最高质量 学生接受融合了生物医学、计算机科学和工程的真正跨学科的培训。这个 计划将继续发展课程(包括在线课程)，并开发和提供以下选修课 将使学生为大数据和计算生物医学研究的挑战做好准备。该计划将 继续其培训模式，从教职员工实验室的一系列研究轮换开始，以及 在博士导师和联合导师的监督下继续博士研究工作，博士导师和联合导师提供 相互补充的跨学科专业知识。该方案还将继续最近建立的周刊 学术讨论会、学生杂志俱乐部和年度静修。在培训过程中，项目学生有 在卫生科学研究方面做出了重要发现和有影响力的进展。该项目的校友 在学术界和工业界处于领先地位。考虑到超乎寻常的数量和质量 申请者，项目教职员工培训项目学生的能力和热情，以及 该计划的机构支持，这项申请寻求增加到12个见习名额。 对研究生在课程工作教育和初步研究期间的培训提供资助 通过培训，所有研究生在攻读博士学位期间都将得到毕业论文导师的支持。这个 建议书概述了我们过去在培训学生方面的成功，并讨论了重要的新战略，以提高 培训计划。加州大学圣迭戈分校哈利奥格鲁数据科学研究所的新成立提供了巨大的协同效应 为我们的研究生课程提供了一个机会，让学员有机会成为新兴领域的领导者 生物医学正在严重地成为数据科学的学科。

Graduate Training Program in Bioinformatics Program Abstract Biology is increasingly becoming an information-driven science. To harness the opportunities of the post- genomic era in furthering health sciences research and improving health care, there is an enormous demand for biologists who are trained in mathematics and computer science and can think quantitatively. However, current disciplinary graduate training programs are not designed to accommodate these rapid changes in the biological research perspective. This need serves as the motivation for the development of specialized graduate training programs that will train students at the interface between biology, engineering and computer science. To address this need, UCSD established an interdisciplinary Graduate Program in Bioinformatics in 2001 under the directorship of Dr. Shankar Subramaniam. In 2008, it was renamed Graduate Program in Bioinformatics and Systems Biology and reorganized. The current program directors Drs. Trey Ideker, Euegene Yeo, and Theresa Gaasterland work closely with the Training Grant co-PIs Dr. Subramaniam, Vineet Bafna, and Theresa Gaasterland, and with an active steering committee containing representative faculty from all five participating UCSD schools and academic divisions. The primary objectives of this (renewal) application of the Training Grant by the three co-PIs are to continue and expand this premier Graduate Program, and support the highest quality students in their truly interdisciplinary training which blends biomedicine, computer science and engineering. The Program will continue to evolve the curriculum (including online offerings) and develop and offer electives that will prepare students for the challenges of big data and computational biomedical research. The program will continue its mode of training that begins with a set of research rotations in laboratories of faculty members, and continues through doctoral research work under the supervision of a PhD advisor and co-advisor who provide complementary interdisciplinary expertise. The Program will also continue a recently established weekly Colloquium, the student Journal Club, and annual retreat. In the course of their training, program students have contributed important discoveries and impactful advances in health sciences research. Alumni of the program are placed in leading positions in Academia and industry. Given the extraordinary number and quality of applicants, the capacity and eagerness of the Program faculty to train the Program’s students, and the institutional support for the Program, this application seeks to increase the number of trainee slots to 12. Following Training Grant support of Graduate students during their course work education and initial research training, all graduate students will be supported by their thesis advisors for the duration of their PhD studies. The Proposal outlines our past success in training students and discusses significant novel strategies for enhancing the training program. The new inception of the UCSD Halicioglu Data Sciences Institute provides great synergy for our Graduate Program and offers the trainees an opportunity to become leaders in the emerging areas of biomedicine that are heavily becoming data science disciplines.