Training Program in Computational Biology

计算生物学培训计划

• 批准号: 7885867
• 负责人: BARRY H HONIG
• 金额: $ 8.7万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7885867
• 关键词: Computational Biology; Training Programs

he aim of the training program that we are proposing is to educate a generation of scientists who have the knowledge required to identify important biological problems and the expertise required to develop and apply advanced computational methods towards their solution. The scientist we envision will be an integral part of a discipline involving computational science but will be comfortable attending a meeting of experimental biologists as well. Indeed we believe that it is essential that the next generation of computational biologists have a deep understanding of biology. In addition it is important that they have familiarity with more than one computational discipline. For example, it would be desirable if computer scientists working on new algorithms to classify proteins would understand structural biology and have expertise in computational studies of protein structure and function as well. Integrating different computational disciplines is a challenging goal in its own right and is made more complex by the fact that the unifying theme is biological. We will ensure that our trainees have a deep understanding of experimental biology, have expertise in at least one area of computational biology and have familiarity with other areas.

我们提出的培训计划的目的是培养一代具有 识别重要生物问题所需的知识以及开发和应用所需的专业知识 先进的计算方法为他们的解决方案。我们设想的科学家将成为 一门涉及计算科学的学科，但参加一次实验会议会很舒服。 生物学家也是。事实上，我们认为，下一代计算生物学家 对生物学有深刻的理解。此外，重要的是他们要熟悉不止一个 计算纪律。例如，如果计算机科学家致力于新的算法，那将是可取的 对蛋白质进行分类将理解结构生物学，并在计算研究方面拥有专业知识 蛋白质的结构和功能也是如此。集成不同的计算学科是一个具有挑战性的目标 这是它自己的权利，而且由于统一的主题是生物学的事实而变得更加复杂。我们将确保 我们的学员对实验生物学有深刻的理解，在至少一个领域拥有专业知识 具有计算生物学专业知识，并熟悉其他领域。