BRM5012 · Techniques in medical biotechnology: Genomics, proteomics and bioinformatics

Overview

In this unit, you will explore recent advances in genomics, transcriptomics, proteomics, metabolomics and systems biology. You will learn about the latest sequencing technologies underlying these fields of research and obtain an understanding of computational methodologies used to explore these massive datasets. You will gain hands-on experience in extracting, mining and integrating publicly available datasets relevant to biomedical research. This unit will also provide training in statistical methods for biotechnology scientists.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Apply knowledge about cutting-edge, high-throughput sequencing technologies to a variety of clinical applications
2. Use bioinformatics software for analysing high-throughput sequencing datasets and mining the outcome (including basics of coding to run software in command line mode)
3. Gain knowledge about the functionality of genome browsers and databases to enable navigation through these resources from different model organisms
4. Customise data analysis strategies for specific research questions in biomedical research
5. Effectively communicate and present bioinformatics and systems biology concepts applied to biomedicine

Workload

5 contact hours (2 hours seminars and 3 hours practical/ workshop) 7 hours of private study (expected to be spent on assignments, and designated pre-class and post-class learning activities to prepare for classes and consolidate knowledge. Please refer to Moodle for additional details.

Student experience, not official rules. Nothing here changes what the Handbook says.