Translational Discovery Omics I – Genomics, Epigenomics, and Transcriptomics

Course content

The aim of the course is to provide the participants with:

i) an overview of the theory and application of technologies in genetic research of health and disease,

ii) an introduction to the role of genetics in elucidating disease mechanisms and inferring causality, and

iii) an understanding of the application of technologies in epigenomic and transcriptomic research.

 

The main themes covered in the course include:

  • Phenotype definition
  • Genetic variation in health and disease
  • Methods in genome research, including genome sequencing
  • Analytical methods in genome research
  • Methods and applications of epigenetic research
  • Transcriptomic methods and applications

 

This course is primarily focused on basic omics research. Translational research applications of omics are included in the later omics courses in the BRIDGE Programme.

Education

BRIDGE – Translational Excellence Programme

Learning outcome

Upon completing the course, participants should be able to:

 

Knowledge

  • Demonstrate an understanding of the impact of genetic variation on health and disease.
  • Discuss the applications of contemporary methodologies to study genetic variation.
  • Recognise the strengths and limitations of examining genetic variation as part of elucidating disease mechanisms and inferring causality.
  • Comprehend the principles and applications of epigenomic and transcriptomic profiling of tissues and single cells.

 

Skills

  • Critically evaluate the results from studies of human genetic variation.
  • Understand how results from basic tools can be used to study relationships among individuals and populations using genetic data.
  • Develop an appropriate study design for a genetic study of a human disease.

 

Competences

  • Understand the central concepts of genomics, epigenomics, and transcriptomics, and be able to engage in informed discussions about related topics with peers, clinicians, and the public.

The course is organised with a mix of scientific seminars by invited speakers, technical lectures about modern technologies, and participant-led activities. In addition, the course will include group work, case studies, and practical exercises.

The course will end with an evaluation, where participants must reflect on the course learning outcomes and provide feedback for course development.

The course literature will be listed on Absalon.

Participants must meet the admission criteria of the BRIDGE – Translational Excellence Programme (Fellowship or BRIDGE Omics Programme).

Oral
Continuous feedback during the course of the semester
ECTS
0 ECTS
Type of assessment
Continuous assessment
Requirement to attend classes
Type of assessment details
Attendance and active participation are required.
Examination prerequisites

Participants are automatically registered for the examination upon admission to the BRIDGE – Translational Excellence Programme (Fellowship or BRIDGE Omics Programme).

Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Criteria for exam assessment

Active contribution and course participation according to the BRIDGE Guidelines and Practicalities.

Part time Master and Diploma courses

  • Category
  • Hours
  • Lectures
  • 12,5
  • Class Instruction
  • 5
  • Preparation
  • 3
  • Theory exercises
  • 3,5
  • English
  • 24,0

Kursusinformation

Language
English
Course number
SBRI19001U
ECTS
0 ECTS
Programme level
Part Time Master
Ph.D.
Placement
Autumn
Schedulegroup
See course dates and programme in Absalon.
Capacity
20 participants
Studyboard
Study Board for the Professionel Master´s Degree Programmes at The Faculty og Health and Medical Science
Contracting department
  • The Novo Nordisk Foundation Center for Basic Metabolic Research
Contracting faculty
  • Faculty of Health and Medical Sciences
Course Coordinators
  • Tuomas Oskari Kilpeläinen   (18-777872706476316e6c6f73686f646c7168714376787167316e7831676e)
  • Laura Maarit Pikkupeura   (16-6f6478756431736c6e6e7873687875644376787167316e7831676e)
  • Torben Hansen   (13-767174646770306a63707567704275777066306d7730666d)
Saved on the 14-05-2025

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Courseinformation of students