BINF550 Genomic Analysis and Bioinformatics

Unit Information
Additional Information

Credit Points

Offering

Responsible Campus	Teaching Period	Mode of Study
Armidale	Trimester 1	Off Campus
Armidale	Trimester 1	On Campus

Intensive School(s)

None

Supervised Exam

There is no UNE Supervised Examination.

Pre-requisites

candidature in a postgraduate award

Co-requisites

None

Restrictions

BINF350

Notes

R and various bioinformatics software packages are used throughout the unit.

Combined Units

BINF350 - Genomic Analysis and Bioinformatics

Coordinator(s)

Cedric Gondro (cgondro2@une.edu.au)

Unit Description

This applied genetics unit introduces the concepts and methods needed to work with and analyse data from modern genomic platforms. The topics covered include microarray analysis, genome wide association studies, reconstruction of phylogenies, measures of population diversity, DNA sequencing, gene searches, alignments and biological databases. Besides the conceptual background, students will receive practical experience in working with the different technologies using real datasets and will learn to build/use bioinformatics solutions. This unit is recommended for biomedical, life sciences and other students interested in working with the latest genomic technologies.

Recommended Material
Optional

Text(s):

Note: Recommended material is held in the University Library - purchase is optional

Bioinformatics and Functional Genomics: ISBN: 9780470085851

Pevsner, J., Wiley-Blackwell 2nd ed. 2009

Text refers to: Trimester 1 , On and Off Campus
Handbook of Statistical Genetics: ISBN: 9780470058305

Balding, D.J., Bishop, M. and Cannings, C. (eds), Wiley-Interscience 3rd ed. 2007

Text refers to: Trimester 1 , On and Off Campus

Disclaimer

Unit information may be subject to change prior to commencement of the teaching period.

Assessment

Title	Exam Length	Weight	No. Words
End of Term Exam	2 hrs	30%	2000
Assessment Notes
End of Term Exam - Online Moodle

Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 2, 4, 6
Essay and/or Project		20%	2500
Assessment Notes
Essay and/or Project

Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-5 GA: 1, 2, 4, 6
Exam		30%	800
Assessment Notes
Problem sets and tutorial reports - Online via Moodle

Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 4, 6
Mid Term Test	1 hrs	20%	1000
Assessment Notes
Mid term exam - Online Moodle

Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 6

Learning Outcomes (LO)

Upon completion of this unit, students will be able to:

work with and analyse data from high throughput genetic projects;
use analytical methods relevant to modern biology;
use computational tools to interpret biological data;
use bioinformatics methods to answer biological questions, and
develop bioinformatics solutions for high throughput genetic projects.

Graduate Attributes (GA)

	Attribute	Taught	Assessed	Practised
1	Knowledge of a Discipline Students are taught and practise the fundamental aspects of genomic analysis and bioinformatics and learn the basic skills for making practical use of algorithms and tools used in bioinformatics.
2	Communication Skills Students write a critical discussion of a topic in genomic analysis/bioinformatics.
4	Information Literacy Students are instructed and assessed on the use of scientific literature. Students are shown how to find and use a wide range of sources including databases of genomic information.
5	Life-Long Learning Students are instructed in and practise learning analytical skills that will be useful to them beyond the scope of the unit.
6	Problem Solving Students work on several practicals that involve problem solving and learn how to make decisions regarding choice of tools/algorithms and parameterization.
8	Team Work Students work in groups during practicals.

Global UNE Links:

Course and Unit Catalogue 2013

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BINF550 Genomic Analysis and Bioinformatics

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