| Module Title |
Translational Bioinformatics |
| Module Code |
BIO1027 (ITS: BE539AU) |
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Faculty |
Biotechnology |
School |
Science & Health |
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NFQ level |
9 |
Credit Rating |
5 |
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Description
This course will provide an introduction to bioinformatics methods and applications used in the field of translational medicine research, focusing on analytics that translate high-throughput molecular data into biomedical knowledge.
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Learning Outcomes
1. Demonstrate a range of standard and specialist knowledge of the major areas of translational informatics.
2. Critically appraise existing applications and methods in these areas.
3. Exhibit a systematic understanding of knowledge of bioinformatics databases and tools to search, manage and analyse molecular data.
4. Demonstrate a critical awareness of this subject by identifying likely future applications and probable growth areas.
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 16 | Lectures Translational Bioinformatics
(1 Hour online) | | Tutorial | 6 | Tutorials at DCU to supplement and support the lectures | | Assignment Completion | 80 | Assignments (data analysis / mini review) | | Independent Study | 23 | Independent study of lectures and directed reading material |
| Total Workload: 125 |
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| Section Breakdown | | CRN | 20110 | Part of Term | Semester 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Gaetan Thilliez | Module Teacher | Denise Harold, Emma Finlay, Michael Freeley, Paul Cahill |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Completion of online activity | Assignment - analysis and interpretation of RNA seq | 10% | n/a | | Assignment | Assignment - Analysis and interpretation of GWAS data | 10% | n/a | | Assignment | Mini review on the use of genomic / RNA seq for disease discovery or development of new therapeutics | 80% | n/a |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
Translational Bioinformatics
Introduction to Genetics and Genomics; Introduction to Cancer Genetics, Bioinformatics Databases, Statistics and Machine Learning; Genome Mapping and Sequence Analysis; RNA Sequencing; Disease Association Analysis; Pathways and Network Analysis; Structural Biology
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Indicative Reading List
Books:
- Pevsner J: 2015, Bioinformatics and Functional Genomics: Third Edition, ISBN 9781118
Articles:
None |
Other Resources
None |
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