Current postgraduate taught students
COMP60312: Computational Biology - The Application of Computer Science to the Problems of Post-Genome Biology (2007-2008)
Biology is currently undergoing a revolution. The success of the human genome project and other high-throughput technologies is creating a flood of new data. Capturing, interpreting and analysing this data provides real and significant challenges for computer scientists. This course will use biology as an exciting application domain for a wide range of CS techniques that have been developed on the course.
The course is organised in 4 sections:
1. basic introduction to modern biology and bioinformatics
2. data capture
3. data delivery
4. data analysis
Each section will commence with a short taught component delivered as research seminars. Assessments will be based on a short written report and presentations based on a case study that will be introduced at the start of the course.
A student successfully completing this unit will have:
1. A basic understanding of the computational needs of modern biology
2. Developed an understanding of the problems inherent in communicating with scientists from a different discipline
3. Developed the ability to reflect upon and synthesize a range of computational techniques to develop effective problem solving strategies in an unfamiliar problem domain.
4. Developed the ability to communicate these strategies to non-specialists
Assessment of Learning outcomesLearning outcomes will be assessed in the reports and presentations based on the case-study.
Contribution to Programme Learning OutcomesContribution to programme learning outcomes: A1 (DA), A2 (DA), B2 (DA), B3 (DA), C1 (DA), C3 (DA), C4 (DA) and D2 (DA).
Intro to Biology
Intro to Biology - the central dogma (2 hours)
Intro to genomics (2 hours)
Biology databases (2 hours)
capturing microarray data (1 hour)
proteomics seminar (1 hour)
the gene ontology (1 hour)
resource meta-data (1 hour)
HCI and bioinformatics (2 hours)
Dealing with heterogeneous, distributed data. (2 hours)
bioinformatics and the grid (2 hours)
Integrated approaches to post-genome data (2 hours)