Module: Computational Biology

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Computational Biology
Module Code	BE250 (ITS) / BIO1003 (Banner)
Faculty	Science & Health	School	Biotechnology
Module Co-ordinator	Denise Harold
Module Teachers	Linda Holland, Paul Cahill
NFQ level	8	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

Repeat the module

Description

Learning Outcomes

1. Refresh understanding of key genetics processes
2. Understand the process of genome annotation; access biological data from different genome browsers and databases
3. Determine the linkage disequilibrium structure of a genetic locus
4. Perform a genetic association analysis
5. Design PCR primers
6. Infer homology using computational methods
7. Retrieve sequence data and perform multiple sequence alignments
8. Work at the command line on Linux

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	38	Computer Practicals & Workshops
Independent Study	87	No Description
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

Introduction to genome annotation and the available genome bowsers.

Understanding data formats.

Efficient use of biological databases.

Appropriate statistical analysis of a genetic association study.

Designing PCR primers.

Database search algorithms and statistics.

Multiple sequence alignment.

Linux command-line

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	n/a	10%	n/a
In Class Test	n/a	70%	Week 7
Assignment	Short assignment (worth 20% module) - due towards the end of semester	20%	Sem 2 End

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 2

Indicative Reading List

Other Resources

None