MPhil in Computational and Systems Biology

这门课程的目的是为那些希望进入计算和系统生物学领域并能够相对独立地处理尖端问题的学生，在本科或研究生学习后提供一个全面的基础。MPHIL为来自不同背景的学生提供了一个全面的学科基础，他们可以在此基础上继续攻读博士学位或在工业研究中找到工作。通过这种方式，我们帮助培训下一代定量的跨学科研究人员，他们能够将系统方法应用于生物学和生物技术的许多领域。到课程结束时，学生应熟悉利用计算方法(例如，下一代测序、微阵列、蛋白质组学、代谢组学、疾病动力学、神经生理学、基因关联研究)的广泛背景，并利用适当的方法分析由这些技术产生的数据。生物系统的建模构成了本课程的主要目标，从单个细胞内蛋白质水平的随机建模到生物网络、种群生物学和传染病的大规模模型。

The aim of the course is to provide a thorough grounding, following undergraduate or graduate studies, for those students who wish to enter the fields of computational and systems biology and be able to work relatively independently on cutting-edge problems. The MPhil takes students from a variety of backgrounds and gives them a thorough grounding in the subject, from which they can go on to study for a PhD or find employment in industrial research. In this way, we help train the next generation of quantitative interdisciplinary researchers capable of applying systems approaches to many areas of biology and biotechnology. By the end of the course, students are expected to be familiar with a wide range of contexts that exploit computational approaches (e.g. next-generation sequencing, microarrays, proteomics, metabolomics, disease dynamics, neurophysiology, gene association studies) and draw on suitable methods for the analysis of data generated by these techniques. Modelling of biological systems forms a key objective of the course, from stochastic modelling of protein levels within a single cell to large-scale models of biological networks, population biology and infectious diseases.