Site Navigation

BIOT8017 - Genomics & Bioinformatics

Title:Genomics & Bioinformatics
Long Title:Genomics & Bioinformatics
Module Code:BIOT8017
Duration:1 Semester
Credits: 5
NFQ Level:Advanced
Field of Study: Biotechnology
Valid From: Semester 1 - 2020/21 ( September 2020 )
Module Delivered in 1 programme(s)
Module Coordinator: Brigid Lucey
Module Author: Caitriona Guinane
Module Description: This module provides an introduction to genomics and bioinformatics – specifically the development of next generation sequencing technologies and the use of computational models and databases to manage the vast amounts of sequence data generated by modern genomics and metagenomics projects.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Critically evaluate the technologies and techniques used in Next Generation DNA sequencing
LO2 Describe gene mining in the context of large scale DNA sequencing from a number of different environments.
LO3 Utilise bioinformatic tools and online resources available for sequence analysis
LO4 Obtain information from a range of database sources and apply strategies for the analysis and management of sequence data.
LO5 Compare the strengths and weaknesses of the tools available for genome analysis.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.

No requirements listed

Module Content & Assessment

Indicative Content
Genomics and Metagenomics
A comprehensive overview of large scale DNA sequencing strategies; from the human genome project to environmental metagenomics.
Next Generation Sequencing Technologies
The development and application of Next Generation sequencing technologies; including Illumina, Ion Torrent, PacBio, Nanopore and MinIon, among others.
Introduction to Bioinformatics
An introduction to bioinformatics and the use of online resources in modern molecular biology.
DNA and Protein Sequence Databases
A comprehensive overview of the main sequences databases and the information retrieval systems which provide access to these databases.
Nucleic Acid Sequence Analysis
A detailed overview of the online tools available for genome sequence analysis.
Sequence Alignments and Database Searches
An overview of local and global alignment algorithms for sequence comparisons.
Assessment Breakdown%
Course Work30.00%
End of Module Formal Examination70.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Written Report Case study in Genomics 1,2,3,4,5 30.0 Week 8
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam Theory based written exam 1,2,4,5 70.0 End-of-Semester
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The institute reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class based instruction 3.0 Every Week 3.00
Independent & Directed Learning (Non-contact) Independent Study 4.0 Every Week 4.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
This module has no Part Time workload.

Module Resources

Recommended Book Resources
  • Arthur Lesk 2017, Introduction to Genomics, 3rd Ed., 13, Oxford University Press [ISBN: 9780198754831]
Supplementary Book Resources
  • Arthur Lesk 2013, Introduction to Bioinformatics, 4th Ed., 9, Oxford University Press [ISBN: 9780199651566]
Supplementary Article/Paper Resources
Other Resources

Module Delivered in

Programme Code Programme Semester Delivery
CR_SAGBI_8 Bachelor of Science (Honours) in Agri-Biosciences 7 Elective

Cork Institute of Technology
Rossa Avenue, Bishopstown, Cork

Tel: 021-4326100     Fax: 021-4545343
Email: help@cit.edu.ie