Gwybodaeth Modiwlau

Learning Outcomes

On completion of this applied module, students should be able to:

• demonstrate an appreciation of the international scale of co-ordinated effort required to assemble the biological resources for analysis of gene function.
• communicate a theoretical experience of using genomics and related databases to analyse gene and genome inter-relationships.
• describe the current methodologies for prediction of the structural relationships of proteins.
• evaluate the value and constraints associated with the study of model systems for functional genomics.
• demonstrate an understanding of the basic technological principles of transcriptome, proteome and metabolome analysis.
• discuss the range of computational methods being used to interpret functional genomics data.
• discuss the concepts of high throughput screening and forced evolution methodologies in modern biology.
• appreciate current research strategies for gene discovery and determining gene function (functional genomics) and biological data analysis and interpretation (bioinformatics) .
• describe the role that genomics and bioinformatics has to play in modern medicine and fundamental research.
• demonstrate skills and knowledge of the concepts underlying database access, sequence analysis, protein classification and functional assignment.
• appreciate the range of computational methods being used to interpret functional genomics data.
• show awareness of the current status of the human genome project and its context in society.

Content

Brief description

Aims