Core course in MSc Bioinformatics and MSc Life Science and Technology, elective course MSc Chemistry
Assumed/Recommended prior knowledge
Students should be familiar with fundamental concepts in molecular biology. Experience in programming is not required.
The course will cover the approaches, algorithms and practical aspects of bioinformatics for omics data analysis, with a particular focus on human health and disease. The following topics will be covered:
a) bioinformatics data resources (global data sharing for omics data)
b) computational analyses of genomic data (genome sequencing approaches, genome assembly, de novo sequencing, resequencing and variation analysis),
c) computational analyses of transcriptome and proteome data (RNA-Seq and microarray analyses, RNOmics, pathway analysis, functional enrichment/over-representation and protein-protein interaction networks)
d) medical informatics (omics in rare and complex disease studies, principles and problems in managing and sharing patient data)
At the end of the course students will:
have knowledge of fundamental principles in bioinformatics and computational biology
understand biomedical applications of bioinformatics analyses
be able to analyse a range of omics data using bioinformatics tools
understand the impact of the omics revolution on biomedical informatics research
The most recent timetable can be found at the Computer Science (MSc) student website.
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Mode of instruction
Lectures, practical classes, literature discussion and assignments
Written examination (50%) and assignments (50%)
Lectures, practical exercises and literature assignments contain material that will be included in the examination.
Current bioinformatics literature referenced in the lectures and practical sessions
Introduction to Bioinformatics, Arthur Lesk, 5th Edition. ISBN: 9780198794141
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