Course overview
This course teaches the underlying theory and skills for design and analysis of genome sequencing/resequencing experiments and datasets. This will include variant calling and assembly. Theoretical background will cover relevant computational, statistical, and network theory, as well as the key biological processes which are under investigation. Practical analysis will involve use of relevant assembly/variant calling software, R Studio and Bash scripting and/or a compiled programming language in the context of an HPC environment.
Course learning outcomes
- Use modern literate programming tools such as R Studio Notebooks.
- Analyse a biological question in order to develop a research analysis pipeline.
- Use a variety of publicly available data resources and software tools to perform genomic analyses.
- Implement approaches to ensure reproducibility of a research analysis.
- Use and communicate statistical concepts to establish and communicate the reliability of genomic analyses.
- Employ effective techniques to communicate complex research results to a non-specialist audience.
- Produce a comprehensive analytical report on a genomics research problem.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.