MonMap
A course mapper by Monash Association of Coding (MAC)
Applied bioinformatics
GNA5012
Synopsis
With advancements in high-throughput data generation technologies, we are now able to generate incredible volumes of data from genome-scale experiments. Biologists need to work with this large volume of data in various digital forms to extract biological knowledge from it.
Bioinformatics is an interdisciplinary field that deals with processing, analysis, and management of biological information using computer science and information technologies.
This unit will assist you to develop essential bioinformatics skills and focuses on the practical use of bioinformatics methods and resources for the analysis of nucleotide and protein sequences, as well as results from omics studies, with emphasis on their evolutionary underpinnings and statistical foundations. You will explore the basic concepts underlying bioinformatics algorithms for assembly, alignment and pattern finding. You will gain experience in working with data from –omics studies, and learn data type-specific methods to perform gene/protein expression analysis, clustering, network analysis, and data visualisation.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Science
- Faculty
- School of Biological Sciences
- Handbook year
- 2026
Prerequisites
No prereqs in the handbook graph.
What it unlocks (1)
- Genomics internshipGNA5930
Offerings (1)
- Second semesterClayton · ON-CAMPUS