Training Program in Computational Biology

我们提出的培训计划的目的是教育一代科学家， 确定重要生物学问题所需的知识以及开发和应用 先进的计算方法来解决它们的问题。我们设想的科学家将成为 一个涉及计算科学的学科，但会很舒服地参加一个实验的会议， 生物学家也是。事实上，我们认为，下一代计算生物学家必须 对生物学有深刻的理解。此外，重要的是，他们熟悉一个以上的 计算学科例如，如果计算机科学家致力于新算法， 要对蛋白质进行分类，就必须了解结构生物学，并具有计算研究的专业知识， 蛋白质的结构和功能。集成不同的计算学科是一个具有挑战性的目标， 它本身的权利，是更加复杂的事实，统一的主题是生物学。我们将确保 我们的学员对实验生物学有深刻的理解，至少在一个领域有专业知识， 计算生物学，并熟悉其他领域。

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.