Core course in MSc Life Science and Technology, elective course MSc Chemistry
Admission requirements
A BSc degree in the Life Sciences. You should be familiar with fundamental concepts in molecular biology. Experience in programming is not required.
Description
Main topics:
This course is about bioinformatics approaches to omics data analysis in human health and disease.
It will cover; a) computational analyses of genomic data (genome sequencing approaches, genome assemblies, genomic context analysis, metagenomics), b) computational analyses of transcriptomics data (RNA-Seq and microarray analyses, RNOmics, downstream enrichment and over-representation), c) computational analysis of the proteome (proteomics approaches, protein functional annotation, protein-protein interaction networks), d) medical informatics (SNP analysis, omics in rare and complex disease studies, pathogen genomics)
At the end of the course students:
will have knowledge of fundamental principles in bioinformatics
will have knowledge of the impact of big data and new technologies on the field
will be able to analyse a range of omics data using bioinformatics tools
will understand how to apply omics data analyses to problems in biomedicine
Mode of instruction
Lectures accompanied by bioinformatics practical classes and assignments
Language
English
Timetable
Schedule information can be found on the website of the programmes
Literature
Lecture notes with the list of references and Internet resources, slides presented during the lectures.
Examination
Written examination (60%) and assignments (40%)
Contact Information
Registration
Register for this course via uSis