GEN3010 · Bioinformatics for Genomic Analysis

Overview

Bioinformatics is an interdisciplinary field that integrates biology, statistics, and computing to analyse and interpret complex biological information. In this unit, you will apply bioinformatics approaches to real-world genomic datasets to address questions across multiple levels of biological organisation. You will develop hands-on skills in processing and analysing genome-scale sequence data, including sequence alignment and variant calling. You will explore how genetic variation can be used to assess population diversity and structure, and to infer relationships among species and populations. The unit emphasises practical workflows and reproducible analysis, providing experience with commonly used bioinformatics tools and data types. You will build the skills needed to design and carry out genomic analyses, and to communicate your findings effectively. These skills can be applied to the study of evolution, ecology and organismal health and lead to diverse careers in research, conservation biology, biotechnology, agricultural technology and biomedicine.

Areas of study: Genetics and genomics

Offerings

Assessment

The Handbook lists an examination for this unit.

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

Requisites

Learning outcomes

1. Evaluate current techniques for the analysis of genomic data;
2. Explain how different data types can be used in bioinformatic analysis;
3. Implement analysis and data visualization protocols for genomic data;
4. Design and conduct an extended bioinformatics research project and analyse its results;
5. Demonstrate team work, scientific communication and peer to peer learning and feedback.

Workload

• Two hours of lectures/online activities; • One three-hour computer laboratory; • Seven hours of independent study per week.

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