University of Otago
Dunedin, New Zealand
Area of Study
Taught In English
Two of GENE 221, GENE 222, BIOC 221
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4 - 6
Hours & Credits
Genome content and genetic elements within genomes. Genome variation and its effects within and between species. How genomes influence phenotype. Bioinformatic methods used for analysis of genomes.
GENE 315 explores eukaryote genomes and genomic variation and is, thus, highly relevant for all students interested in modern genetics. The central theme of genomic variation links the various modules within the lecture course, which sit alongside laboratory streams designed to reinforce the concepts being taught in class. This includes coverage of both laboratory-based experimental genetics techniques, along with computational methods for the analysis of genetic data.
There are twelve weeks of laboratory classes, run across the five teaching modules, and students are assigned to one of two lab streams (Wednesday and Thursday afternoons). Laboratory classes run from 2.00 pm to 5.50 pm (room G09, Biochemistry building).
The lecture course is divided into 5 blocks:
- Exploring the genome
- Genome content
- Genome variation and its effects within species
- From genome to phenotype
- Implications of the genomic revolution
The lecture course is complemented by a laboratory course, which provides training in data analysis and relevant genetic methods, including genome assembly and annotation; identification and assessment of genomic variation; quantitative genetics and genomic selection; and the impact of genetic variants on phenotype.
Knowledge and understanding of the basic principles of eukaryote genomics:
- How genomic sequence is obtained and analysed
- Genome annotation
- Genome content and complexity
- Cross-species genomic comparisons
- Methods for the identification of genomic variants
- Quantitative genetics and genomic selection
- Interpretation of phenotype variation in the context of large-scale genomic data sets
- Computer technology skills relating to the analysis of genomic data
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.