Training Program in Computational Biology

描述(由申请者提供)：我们提议的培训计划的目的是教育一代科学家，他们拥有识别重要生物学问题所需的知识，以及开发和应用先进计算方法解决这些问题所需的专业知识。我们设想的这位科学家将成为涉及计算科学的学科的组成部分，但会很舒服地参加一个实验会议 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是至关重要的。此外，重要的是他们熟悉不止一个计算学科。例如，如果致力于蛋白质分类的新算法的计算机科学家了解结构生物学，并在蛋白质结构和功能的计算研究方面拥有专业知识，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，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，至少在一个计算生物学领域拥有专业知识，并熟悉其他领域。

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.