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Unit of study_
GEGE3004: Applied Genomics
2024 unit information
The average mammalian genome is 3 billion nucleotides long and some other organisms have genomes that are even larger. Working with DNA at the nucleotide level on an organismal scale is impossible without the assistance of high performance computing. This unit will investigate strategies to manipulate genomic data on a whole organism scale. You will learn how scientists use high performance computing and web-based resources to compare and assemble genomes, map genes that cause specific phenotypes, and uncover mutations that cause phenotypic changes in organisms that influence health, external characteristics, production and disease. By doing this unit you will develop skills in the analysis of big data, you will gain familiarity with high performance computing worktop environments and learn to use bioinformatics tools that are commonly applied in research.
Unit details and rules
Managing faculty or University school:
Life and Environmental Sciences Academic Operations
| Code | GEGE3004 |
|---|---|
| Academic unit | Life and Environmental Sciences Academic Operations |
| Credit points | 6 |
|
Prerequisites:
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6cp of (GEGE2X01 or QBIO2XXX or DATA2X01 or GENE2XXX or MBLG2X72 or ENVX2001 or DATA2X02) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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ANSC3107 |
| Assumed knowledge:
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Genetics at 2000 level, Biology at 1000 level, algebra |
At the completion of this unit, you should be able to:
- LO1. describe elements of genomic architecture
- LO2. understand the genomic mechanisms of inheritance and relationships among organisms
- LO3. apply bioinformatic approaches to assemble a genome from whole genome sequencing data
- LO4. analyse genomic alignments to detect functional mutations in protein coding sequences
- LO5. analyse whole genome genotyping data to discover a locus responsible for a trait with Mendelian inheritance
- LO6. write a project proposal to answer a research question in computational genomics
- LO7. describe the basis of phylogeny
- LO8. analyse genotyping data to generate a phylogenomic cladogram.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2024
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
Important enrolment information
Additional advice
This unit must be taken by all students in the Genetics and Genomics major.
