Course Coordinator:Renfu Shao (rshao@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Sunshine CoastUniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
This course will introduce you the principles and key concepts of bioinformatics and will start with basics about DNA, RNA and protein, then progress to databases, sequence alignments, evolutionary history reconstruction, genome annotation, and analysis of gene and protein expression. Systems biology, linux system and programming will also be introduced. Computer-based labs will provide you hands-on experience with databases and bioinformatics tools, and develop your skills in the analysis of biological data.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – The learning materials will introduce you the principles and key concepts of bioinformatics. Your will review the basics about DNA, RNA and protein, then progress to databases, sequence alignments, evolutionary history reconstruction, genome annotation, and analysis of gene and protein expression. Systems biology, linux system and programming will also be introduced. | 2hrs | Week 1 | 12 times |
Laboratory 1 – Computer-based lab practicals will provide you hands-on experience with databases and bioinformatics tools, and develop your skills in the analysis of biological data. | 2hrs | Week 1 | 12 times |
Seminar – These seminars will guide students to revise course learning materials and prepare for the end of semester exam. | 1hr | Week 1 | 3 times |
Bioinformatics, sequence, structure, database, genomics, transcriptomics, systems biology, programming
300 Level (Graduate)
12 units
Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Completing these tasks successfully will contribute to you becoming... | |
1 | Explain and describe the principles and key concepts of bioinformatics. | Knowledgeable |
2 | Critically analyse how bioinformatics is used to make discoveries in biological sciences. | Creative and critical thinker |
3 | Develop skills in literature review, database search, and the use of bioinformatics tools to address questions in biology. | Empowered |
4 | Demonstrate skills to communicate scientific ideas to a variety of audiences regarding concepts in bioinformatics. | Empowered |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
LFS252 or SCI212 or BIM202
Not applicable
Not applicable
Basic knowledge in genetics and molecular biology and basic computer skills
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Early feedback will be provided in Weeks 1-4 in the practical reports.
Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
All | 1 | Report | Individual | 35% | 150 words |
Throughout teaching period (refer to Format) | Online Submission |
All | 2 | Essay | Individual | 30% | 2000 words |
Week 12 | Online Assignment Submission with plagiarism check |
All | 3 | Examination - Centrally Scheduled | Individual | 35% | 2 hours |
Exam Period | Exam Venue |
All - Assessment Task 1:Practical reports | |
Goal: | This task is designed to assist you to develop your conceptual understanding and practical skills in bioinformatics. You will use bioinformatics tools to address questions in biology. |
Product: | Report |
Format: | There are weekly practical activities in this course. Each practical comprises a set of short-answer questions. You are required to submit a report to answer the questions from each practical. Submit each report electronically in the following week after you undertake the practical. |
Criteria: |
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All - Assessment Task 2:Essay | |
Goal: | To develop research and writing skills and in-depth understanding of scientific literature on a chosen bioinformatics tool and its use in biological discoveries. |
Product: | Essay |
Format: | You are required to submit an essay developed from your research concerning a bioinformatics tool of your choice. Search and review the literature published in peer-reviewed journals such as Bioinformatics, Genome Research, Molecular Biology and Evolution, Nucleic Acids Research, etc. Limit your essay to 2,000 words (excluding figures, tables, references and appendixes). Your essay must cover the following four aspects:1. Introduction of your chosen bioinformatics tool. Include information such as who developed the tool, what the tool is for, where the tool was published, how users can access this tool, who used the tool, etc. (20%)2. Principles and rationale of your chosen bioinformatics tool. Explain how the tool is designed (30%)3. Use of the bioinformatics tool in biological research. Explain what questions the bioinformatics tool has been used to address. Provide at least two examples in which the tool has facilitated discoveries. (40%)4. Future improvement of the tool. Offer your opinions and comments how the tool may be improved. (10%) Submit your essay electronically to Canvas - Turnitin before 5 pm, Friday, in Week 12 unless you have won an extension by completing the weekly online quizzes and short-answer questions. You will get 1-day extension for submission if you complete all of the online quizzes, and an additional 1-day extension if you complete all of the online short-answer questions. Furthermore, if your total score from the online quizzes and short-answer questions is 165 or above, you will get an extra 1-day extension. |
Criteria: |
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All - Assessment Task 3:End of semester exam | |
Goal: | |
Product: | Examination - Centrally Scheduled |
Format: | You will sit a 2-hour exam based on the learning materials given in the course. The exam will be held under official exam conditions in a centralised exam venue. The exam will comprise multiple choice and short-answer questions. Online quizzes and short-answer questions will be provided from each week's learning materials to help you prepare the end of semester exam. You are strongly encouraged to complete all of the online quizzes and short-answer questions. |
Criteria: |
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A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Period and Topic | Activities |
Week 1 Course introduction; DNA, RNA and protein |
Learning materials, Computer lab practical |
Week 2 DNA sequencing technology, data generation and quality assessment |
Learning materials, Computer lab practical |
Week 3 Molecular biology databases |
Learning materials, Computer lab practical |
Week 4 Sequence alignment |
Learning materials, Computer lab practical |
Week 5 Revealing genome features |
Learning materials, Computer lab practical |
Week 6 Human genome analysis |
Learning materials, Computer lab practical |
Week 7 Protein secondary structure |
Learning materials, Computer lab practical |
Week 8 Protein tertiary structures |
Learning materials, Computer lab practical |
Week 9 Protein - from structure to function |
Learning materials, Computer lab practical |
Week 10 Gene and protein expression analysis |
Learning materials, Computer lab practical |
Week 11 Systems biology |
Learning materials, Computer lab practical |
Week 12 Linux system and programming |
Learning materials, Computer lab practical |
Week 13 Revision and exam prep |
Seminar |
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.
Required? | Author | Year | Title | Edition | Publisher |
Recommended | Marketa J. Zvelebil,Marketa J (The Institute of Cancer Research Zvelebil, UK),Marketa Zvelebil,Jeremy O. Baum,Jeremy O.. Baum | 2008 | Understanding Bioinformatics | 1st | Garland Science |
Nil
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
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