Module: Translational Bioinformatics

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Translational Bioinformatics
Module Code	BE539AU (ITS) / BIO1027 (Banner)
Faculty	Science & Health	School	Biotechnology
Module Co-ordinator	Gaetan Thilliez
Module Teachers	Denise Harold, Emma Finlay, Michael Freeley, Paul Cahill
NFQ level	9	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

None

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.

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.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
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

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

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

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
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: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1

Indicative Reading List

Pevsner J: 2015, Bioinformatics and Functional Genomics: Third Edition, ISBN 9781118

Other Resources

None