Faculty of Health, Medicine and Life Sciences

Module Information
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BBS3025  - Omics Technologies and Their Analysis

Period 2: from 30-10-2023 to 22-12-2023
Coordinator: Eijssen, L.
ECTS credits: 12
Language of instruction: English

Publication dates timetable/results in the Student Portal

Deadline publication timetable
The date on which the timetable of this module is available: 13-10-2023

Deadline publication final result
The date on which the final grade of this module is available: 17-1-2024

Resit booking

Exam booking for a test in current academic year (resit)
You will be booked automatically for the resit in one of our resit periods. You may check our calenders to find out which modules can be retaken and when: https://intranet.maastrichtuniversity.nl/nl/fhml-studenten/studieverloop/wanneer-wat
As of one week before the resit test takes place, you can check in Student Portal if you are booked correctly: Student Portal > My Courses > More actions. The test will also be visible in your time table.

Exam booking for a test from a previous academic year (exam only)
All students who have not passed the test for this module in a previous academic year, will be booked automatically for the test during the regular block period. You will be enrolled in the new course in Canvas but not scheduled for a tutorial group and other educational activities. If you do not wish to participate in this test at the end of the regular block period please de-register via askFHML.

Resit date: 15-2-2024

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Course information

Description: EN:
This course takes you on a journey through the varied landscape of -omics technologies and their applications. We discuss genomics screening methods, both focusing on detection of genetic variants and their association to diseases or other phenotypes, as well as transcriptomics detection of gene expression levels and their changes. Then we turn our attention to proteomics screening technologies, to determine protein abundances. Thereafter, metabolomics is discussed, to detect metabolites and determine their abundances. Finally, we touch upon the integration of the various methods and approaches. For the genomics part of the course, we mainly focus on the application of next-generation sequencing (genome, exome, and RNA sequencing). For proteomics, we discuss separation methods (gel electrophoresis, chromatography) and the most used technology for detection, mass spectrometry. Quantitative proteomics, as well as the combination with imaging technologies, are discussed. For metabolomics, next to gas and liquid chromatography and MS techniques, we discuss nucleic magnetic resonance (NMR) as a frequently used method. For all omics applications included in the course, we discuss sample preparation, quality control, the technology and equipment used, the data generated, its analytical processing, analysis and the interpretation of results. Besides specific omics, the course pays some attention to experimental design of omics-driven research. Also, various biomedical applications are explored. Furthermore, a number of wet-lab and computer practicals illustrate how to prepare samples, analyse them in the lab, process the generated data, and use online resources to interpret the findings. Also, in this course critical evaluation of published findings is taken into account. In addition, a group project has the application of the various omics methods to a dedicated biomedical domain as its core focus. A regular week features two one-hour lectures, one PBL tutorial, either a journal club or an experimental design discussion, a (wet-lab or computer) practical, and a meeting of the project group. Assessment consists of (i) a group presentation of the project work; (ii) a final exam with a number of open questions on the omics discussed as well as their application.
Goals: EN:
(to be added)
Key words: EN:
genomics transcriptomics proteomics metabolomics next-generation sequencing (NGS) chromatography (GC, LC) mass spectrometry (MS, MS-MS) nuclear magnetic resonance (NMR)
Literature: This is the link to Keylinks, our online reference list.  
Teaching methods:
  • Work in workgroup(s)
  • Lecture(s)
  • Problem Based Learning
  • Presentation(s)
  • Skills
Assessments methods:
  • Attendance
  • Participaion
  • Presentation
  • Written exam

This page was last modified on:15-4-2022
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