NWI-MOL410
Omics
Course infoSchedule
Course moduleNWI-MOL410
Credits (ECTS)3
CategoryMA (Master)
Language of instructionEnglish
Offered byRadboud University; Faculty of Science; Moleculaire Wetenschappen;
Lecturer(s)
PreviousNext 2
Lecturer
prof. dr. A.J. van Gool
Other course modules lecturer
Examiner
dr. J.J. Jansen
Other course modules lecturer
Contactperson for the course
dr. J.J. Jansen
Other course modules lecturer
Coordinator
dr. J.J. Jansen
Other course modules lecturer
Lecturer
dr. J.J. Jansen
Other course modules lecturer
Academic year2018
Period
KW1  (03/09/2018 to 04/11/2018)
Starting block
KW1
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims

After completing the course, the student will be able:

  • to analyse and evaluate the results of omics studies
  • to explain the technologies that are applied to perform global analyses biomacromolecules and metabolites
  • to analyze datasets obtained by global analyses of RNAs, proteins and metabolites
  • to identify factors that regulate gene expression and biological processes at the post-transcriptional level
Content
The course aims to provide an overview of the ‘omics’ technologies: state-of-the-art methods that can be used to analyse all genes, their transcripts, proteins and metabolites within a sample and differences between samples, without previously targeting specific molecules. This course will be focused on post-transcriptional aspects of gene expression. Omics technologies are rapidly developing, but have become indispensable in the modern Chemical Biology laboratory. Omics platforms provide a lot of data, but the use of Chemometric data analysis methods has proven very useful in finding new, hitherto unknown 'Biomarkers' for diet, disease and many more biological processes. The course will cover the different omics platforms and the data analysis methods used to extract the relevant information; there will be guest lectures on the application of omics in pharmaceutical development, hospital practice and on the ethical aspects of omics analyses..
Additional comments
Omics can be extended with the ‘Pattern Recognition in the Natural Sciences’ course (3EC), which covers multivariate data analysis more in-depth. This course will allow students to use multivariate data analysis models to interpret their own experiments.

Topics
Post-translational omics technologies

• Transcriptomics
• Alternative splicing
• Proteomics
• Protein folding and processing
• Post-translational modification
• Interactomics
• Metabolomics
• Next-generation sequencing
Data analysis for omics

• Univariate analysis and multiple testing
• Data clustering
• Principal component analysis
• Partial least squares-discriminant analysis

Test information
Written exam and assessment of tutorial assignments.

Prerequisites
This is a mandatory course in the specialisation 'Chemistry for life'.

Required materials
Reader
Scientific (review) papers
Handouts
Course handouts

Instructional modes
Lecture

Remark
14h

Practical computer training

Remark
12h

Tutorial

Remark
16h + 4h responsiecollege in wk8

Zelfstudie

Tests
Exam
Test weight100
Test typeExam
OpportunitiesBlock KW1, Block KW2