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Unit of Study BIOL2005 - Bioinformatics (2022)

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Unit Snapshot

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Unit description

Provides an overview and introduction to Bioinformatics focusing on the application of computational methods, information science and scientific databases in genomics and proteomics. A key focus will be the understanding of important concepts underlying bioinformatics, with a thorough grounding in standard computational techniques for the analysis of biological sequence data.

Unit content

  • Introduction of bioinformatics, review of DNA structure, organisation, replication, transcription and translation
  • Biomolecular databases
  • Sequence alignment and database searching
  • Basic gene and genome analysis
  • Phylogenetic relationships
  • Analysis of next generation sequencing data
  • Application of expression systems
  • Computational approaches in comparative genomics and human disease
  • Proteomics

Availabilities

Location Domestic International
Gold Coast
Session1
Session1

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

understand how genes, the molecules they produce and the molecules that regulate them can be analysed using computing resources

source reliable bioinformatics literature and on-line databases to critically appraise DNA, RNA, and protein sequence information

apply knowledge of gene structure-function relationships and incorporate statistical methodology to set problems and case studies

critically analyse the concepts and approaches to characterising genes and genomes

critically analyse the impact of bioinformatics and emerging technologies on current and future biological research

Prescribed learning resources

Prescribed Texts
  • Pevsner, J, 2015, Bioinformatics and Functional Genomics, 3rd edn, Wiley-Blackwell. ISBN: 978-1-118-58178-0.

Prescribed Learning Resources may change in future Teaching Periods.