OMICS data analysis for systems biology
Course infoSchedule
Course moduleMED-BMS31
Credits (ECTS)3
CategoryMA (Master)
Language of instructionEnglish
Offered byRadboud University; Faculty of Medical Sciences; Biomedische wetenschappen;
Contactperson for the course
prof. dr. M.A. Huijnen
Other course modules lecturer
prof. dr. M.A. Huijnen
Other course modules lecturer
Academic year2017
4  (27/11/2017 to 26/08/2018)
Starting block
Course mode
RemarksPeriod 4b, Thursday and Friday
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registration openfrom 01/04/2017 up to and including 30/10/2017
Waiting listYes
Placement procedureDone manually by Back Office
ExplanationDone manually by Back Office
The main objectives of this module are:
After completion of the course, students are able to
  1. Explain what RNAseq, DNAsequencing reads and proteomics data look like and what they reflect
  2. Apply the most commonly used tools to process omics data.
  3. Distinguish neutral versus disease causing variants in DNA sequences
  4. Identify differentially expressed genes
  5. Identify and distinguish differentially expressed proteins
  6. Formulate  and  evaluate  hypotheses  about  the  processes  affected  in  the  diseased  state versus the healthy state
  7. Compare various types of omics data to find consistent patterns in them
The module 

This course focuses on the analysis of the omics data: proteomics, genomics and RNAseq, and how to translate the raw data into biologically and medically meaningful variables. The course will be a “hands-on” course. Students will get the data and learn to process them using the currently available programs. The students will be able to interpret the results from those primary analyses. E.g. after assembling sequencing reads to obtain a consensus sequence, they will be able to interpret mutations into likely disease causing versus neutral mutations. Or, after converting RNAseq reads into gene expression values they will be able to call differentially expressed genes and interpret them into differentially regulated biological processes. With respect to proteomics data the students will learn how peptide masses are translated into peptides, and into peptide counts per protein. Finally the students will learn the current state of the art with respect to comparing and integrating data omics data.

Instructional modes
Working group

Period 4b, Thursday and Friday

Course examination
Test weight1
OpportunitiesBlock 4, Block 4