BMS5022 Advanced bioinformatics: efficient genome, transcriptome and proteome analysis
Faculty of Medicine, Nursing and Health Sciences
BMS5022 Advanced bioinformatics: efficient genome, transcriptome and proteome analysis is a 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2022 in Semester 1 and Semester 2 at Clayton. It needs BMS5021.
- Credit points
- 6
- Offered in 2022
- Semester 1, Semester 2
- Clayton
- Assessment
- No exam
- 4 tasks
This is the 2022 handbook entry. See the 2024 entry.
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Requisites
Before BMS5022
Prerequisites
Pass these before you enrol.
After BMS5022
No unit lists BMS5022 as a prerequisite in the 2022 handbook.
Enrolment rules
Corequisite: must be enrolled in one of the following course codes: C6004 or M6003 or M6030
Overview
This unit will combine theory with practise to introduce students to techniques for rapid genome, transcriptome and proteome analysis, viz., data derived from genes and proteins. It builds on Introduction of Bioinformatics (BMS5021) to cover the foundations and research frontiers of computational biology. The unit will focus on (i) aligning and modelling genomes, (ii) gene expression and epigenomics, (iii) regulatory genomics and networks, (iii) comparative genomics and evolution, and (iv) current directions in computational biology, including single-cell and cancer genomics, population genomics, deep learning and dissecting disease mechanisms. Students will practise with influential problems in large-scale biological datasets at the level of the genome, the transcriptome and the proteome and discover the techniques to analyse these datasets.
Offerings in 2022
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| Second semester | Clayton | On campus |
Assessment
- Tests20%
- Oral presentation (2,000 words equivalent x 20 mins)20%
- Group oral presentation (1,500 words equivalent x 20 mins)20%
- Report (3,000 words)Threshold hurdle40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Apply modern approaches to rapid analysis of the genome, transcriptome and proteome and data integration.
- 2
Explain the relevance of data integration and modelling in computational biology.
- 3
Evaluate, rate and justify current research directions in computational biology.
- 4
Analyse multiple data-types in computational biology and construct appropriate analytic solutions to large-scale datasets.
- 5
Formulate and construct a multi-disciplinary solution for microbiome and metagenomics datasets and design informative graphical displays and data summaries to represent the data analytic outcomes.
- 6
Assemble, appraise and judge the regulatory frame work for the acquisition and use of genomics data sets
Workload and teaching
- Lectures8 hours
- Workshops16 hours
- Teaching approachActive learning
Per week: 6 hours of direct learning + 6 hours of self-directed learning.
For full details of the teaching approach to this unit, please refer to Moodle.
Learning resources
Required resources
See Moodle for details about required resources.
Contacts
- Chief Examiners
- Professor Ramesh Rajan
- Unit Coordinators
- Dr Ranjeeta Menon
Common questions
What are the prerequisites for BMS5022?
You need BMS5021 before you enrol. Enrolment rules also apply.
When is BMS5022 offered?
In 2022, BMS5022 runs in Semester 1 and Semester 2 at Clayton.
Does BMS5022 have an exam?
No. BMS5022 has 4 assessment tasks and no exam.