Training Program in Computational Biology

计算生物学培训计划

• 批准号: 7870435
• 负责人: BARRY H HONIG
• 金额: $ 13.12万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7870435
• 关键词: Computational Biology; Training Programs

DESCRIPTION (provided by applicant): The 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.

描述（由申请人提供）：我们提出的培训计划的目的是教育一代科学家，他们具有确定重要的生物学问题所需的知识以及开发和将高级计算方法用于其解决方案所需的专业知识。我们设想的科学家将是涉及计算科学的学科的组成部分，但很乐意参加一次实验的会议 也是生物学家。确实，我们认为下一代计算生物学家对生物学有深刻的了解至关重要。此外，重要的是要熟悉多个计算学科。例如，如果从事新算法进行分类的蛋白质分类的计算机科学家将了解结构生物学，并且在蛋白质结构和功能的计算研究中具有专业知识，那将是可取的。整合不同的计算学科本身就是一个具有挑战性的目标，并且由于统一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了解，在至少一个计算生物学领域中具有专业知识，并且熟悉其他领域。