Bioinformatics and Functional Genomics
The completion of the Human Genome project has resulted in an explosion of genetic information and the development of high throughput techniques for sequencing DNA and proteins and looking at their expression profiles in different cell types. New computational tools for seeking, storing and analysing this information have also been developed. The challenge is to use the information stored in databases to solve biological problems and to inform hypothesis generation and future experiments. This course will provide an introduction to biological databases, with particular emphasis on both transcriptomics and proteomics, and how to search and use the information contained within them.
- Semester 1 - 2017
On successful completion of the course students will be able to:
1. Demonstrate knowledge of the extent of international biological databases and use them to investigate important research questions in genetics and the life sciences,
2. Use the knowledge and skills gained to logically, critically and creatively analyse real-life questions in genetics and the life sciences,
3. Work individually and collaboratively to solve research problems and acquire, organise and present information.
This course will cover topics in bioinformatics and functional genomics including:
- Introduction to biological databases
- Using biological databases
- Functional genomics and analysis at the nucleotide level
- Proteomics and analysis at the post-translational level
- Using database analysis to infer relationships, to analyse expression patterns and molecular interactions
HUBS1202 Human Genomics and Biomolecular Analysis, HUBS2206 Human Biochemistry and Cell Biology and HUBS2209 Human Molecular Science or equivalent.
In Term Test: Mid Semester Exam
Formal Examination: Final Exam
Tutorial / Laboratory Exercises: Prac Minitest *
* This assessment has a compulsory requirement.
In order to pass this course, each student must complete ALL of the following compulsory requirements:
General Course Requirements:
- Computer Lab: Attendance Requirement - Students must attend a minimum number of these sessions. - A minimum of 8/10 prac exams will be necessary to pass the course
Course Assessment Requirements:
- Tutorial / Laboratory Exercises: Attempt / Submission Requirement - Students must attempt/submit this assessment item to pass the course. - A minimum of 8/10 prac exams will be necessary to be able to pass the course.
Face to Face On Campus 2 hour(s) per Week for 11 Weeks
Face to Face On Campus 22 hour(s) per Term
A mid term examination will be scheduled out of lecture time