MF9195 – OMICs in medical research
The purpose of the course is to introduce the use of various Omics technologies, which aim to collectively characterize pools of biological molecules in a single experiment. The focus is Omics technologies in medical research today and tomorrow. The understanding of strengths and limitation of Omics technologies is fundamental for the selection of appropriate analyses and for the interpretation of results obtained.
The course will be based on selected clinical problems and present different experimental strategies, including a description on the principles behind the methods. The strengths and weaknesses of each technology will be discussed with a focus on the decisions that guide the choice of an experimental strategy. Hands on sessions in computational data analyses are included in order to train in performing experiments in given technologies.
The candidate will learn about selected Omics technologies and their strengths and limitations. The candidate will also learn underlying principles of these technologies and how to critically judge the robustness of the Omics data.
This course will give you knowledge about:
- Overview of genome variation in the population including technologies to detect these
- Understanding how High-throughput DNA sequencing (HTS) can be used to identify disease causing genetic variants in monogenic diseases
- Understanding how GWAS can detect disease associated markers in multifactorial diseases
- Understanding how HTS technologies can be used to explore changes in gene expression
- Understanding how mass-spectrometry (MS) analyses can be used in quantitative and qualitative proteomics experiments
- Understanding how Nuclear magnetic resonance (NMR) analyses can be used in metabolomics experiments
- Understanding principles behind basic data analysis tasks in Omics, and the integration of Omics data
- Application of various Omics technologies
- Critical selection of Methods
- Understanding how metagenomics can be used to explore the gut microbiome
- Understanding principles behind high content imaging
- Understanding principles behind brain connectomics
Enrollment to this course is automatically registered in StudentWeb. Applicants will be notified immediately if their application to the course is granted, if the course is full or if the candidate does not meet the formal prerequisite knowledge for admission. Applicants will be put on a waiting list if the course is full.
PhD candidates admitted to a PhD programme at UiO apply in StudentWeb
Applicants who are not admitted to a PhD programme at UiO must apply for a right to study in SøknadsWeb before they can apply for PhD courses in medicine and health sciences. External applicants should apply for a right to study 3 weeks before the course application deadline.
The course will run for 5 full days and mainly based on lectures supplemented with hands on training on computers.
Teaching is mainly by lectures. There will also be group work with hands on training in a PC room focusing on analysis of genomics and proteomics data.
You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.
The written home exam will have to be submitted two weeks after the course.
The exam paper is in English. It is optional for the candidate to answer the exam in Norwegian or English
Submit assignments in Inspera
You submit your assignment in the digital examination system Inspera. Read about how to submit your assignment.
Use of sources and citation
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.