Key facts
UNE unit code: GENE552
*You are viewing the 2027 version of this unit which may be subject to change in future.
- Trimester 1 - On Campus
- Trimester 1 - Online
- Armidale Campus
- Yes
- No
- Yes
- 6
Unit information

In an era of rapid technological innovation in science, data plays an increasingly critical role in change and discovery. This flexibly delivered unit provides you with an understanding of the latest genomic technologies, invaluable in a range of scientific disciplines.
You will be introduced to the concepts and cutting-edge methods needed to work with and analyse data from modern genomic platforms.
Topics explored include genome wide association studies, genomic prediction of genetic merit and disease risk, reconstruction of phylogenies and population diversity, DNA sequencing, analysis of gene expression data, and methods for sequence alignment, genes and gene ontologies in biological databases.
Alongside this conceptual background, you will hone your applied skills. Using real datasets, you will gain hands-on experience working with different technologies and examples of analyses on the R-platform, applying your knowledge to build and use bioinformatics solutions.
Offerings
For further information about UNE's teaching periods, please go to Principal Dates.
| Teaching period | Mode/location |
|---|---|
| Trimester 1 | On Campus, Armidale Campus |
| Trimester 1 | Online |
*Offering is subject to availability
Intensive schools
There are no intensive schools required for this unit.
Enrolment rules
Notes
R and various bioinformatics software packages are used throughout the unit.
The School of Environmental and Rural Science considers all practical/laboratory/tutorial activities as essential to student learning. Attendance and participation in all practical/laboratory/tutorial classes (sessions) is mandatory - exemptions will not be granted without supporting evidence.
Please refer to the student handbook for current details on this unit.
Unit coordinator(s)

Learning outcomes
Upon completion of this unit, students will be able to:
- demonstrate an advanced and integrated knowledge of the biology of genetic mechanisms and how this information is accessed;
- devise solutions to biological questions related to variation in genomes and phenotypes by analysing and evaluating data from high throughput genetic projects using computational tools and analytical methods relevant to genomic data; and
- transmit advanced knowledge of variation in genomes and phenotypes to others using written and verbal methods.
Assessment information
Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
| Title | Must Complete | Weight | Offerings | Assessment Notes |
|---|---|---|---|---|
| End of Trimester Examination - Assurance Task | Yes | 30% | All offerings | There is a supervised exam at the end of the teaching period in which you are enrolled. The exam will be offered online with supervision via webcam and screen sharing technology. Coordinated by UNE Exams Unit. |
| Essay and/or Project | Yes | 20% | All offerings | No. Words: 2500 |
| Mid Trimester Exam - Assurance Task | Yes | 20% | All offerings | There is a supervised exam during the teaching period in which you are enrolled. The exam will be offered online with supervision via webcam and screen sharing technology. Coordinated by UNE Exams Unit. |
| Oral Examination - Assurance Task | Yes | 10% | All offerings | Oral examination related to the Essay and/or Project. Duration: approximately 12-15 minutes. The oral examination will be offered face-to-face or online with supervision via webcam and screen sharing technology. |
| Practical | Yes | All offerings | The School of Environmental and Rural Science considers all practical/laboratory/tutorial activities as essential to student learning. Attendance and participation in all practical/laboratory/tutorial classes (sessions) is mandatory - exemptions will not be granted without supporting evidence. | |
| Problem Sets | Yes | 20% | All offerings | Problem sets and tutorial reports. No. Words: 1400 |
Learning resources
Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Note: Recommended material may be held in the University Library — purchase is optional.
Primer to Analysis of Genomic Data using R
ISBN: 9783319144740
Gondro, C., Spring 2015
Text refers to: All offerings
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