计算生物学，生物信息学和系统生物学的快速发展领域位于生物学，计算学和定量学科之间的接口。现在很清楚，需要使用计算和数学方法才能充分理解复杂的生物过程。这样的方法可以从不断增长的生物学实验数据集中提取相关知识，阐明潜在机制并预测生物学系统的行为。计算生物学家已经在许多前沿领域影响科学并开发新技术，例如药物发现，个性化医学信息学和合成生物学。计算生物学，生物信息学和系统生物学的研究需要从事该学科的科学家和实验生物学家之间的密切合作。生物科学系为多学科研究提供了令人信服的环境，在同一屋檐下设有湿实验室，研究各种
The rapidly expanding fields of Computational Biology, Bioinformatics, and Systems Biology are situated at the interface between biological, computational, and quantitative disciplines. It is now clear that computational and mathematical approaches are needed in order to fully understand complex biological processes. Such methods can extract relevant knowledge, unravel the underlying mechanisms, and predict the behavior of biological systems from the ever-growing biological experimental datasets. Computational biologists are already impacting science and developing new technology in many cutting-edge fields, such as pharmaceutical drug discovery, personalized medical informatics, and synthetic biology. Research in Computational Biology, Bioinformatics, and Systems Biology requires the close collaboration between scientists working in this discipline and experimental biologists. The Department of Biological Sciences provides a compelling setting for multidisciplinary research, hosting under the same roof wet labs studying a large variety of biological problems and model organisms and computational labs. Students in the Computational Biology, Bioinformatics, and Systems Biology (CBS) area of specialization thus receive advance training and perform research in Computational Biology, Bioinformatics, and Systems Biology while still benefiting from interactions and collaborations with their experimentalist colleagues.