SluitenHelpPrint
Switch to English
Cursus: NWI-MOL410
NWI-MOL410
Omics
Cursus informatieRooster
CursusNWI-MOL410
Studiepunten (ECTS)3
CategorieMA (Master)
VoertaalEngels
Aangeboden doorRadboud Universiteit; Faculteit der Natuurwetenschappen, Wiskunde en Informatica; Moleculaire Wetenschappen;
Docenten
Coördinator
dr. J.J. Jansen
Overige cursussen docent
Contactpersoon van de cursus
dr. J.J. Jansen
Overige cursussen docent
Docent
dr. J.J. Jansen
Overige cursussen docent
Docent
prof. dr. G.J.M. Pruijn
Overige cursussen docent
Collegejaar2016
Periode
KW1  (29-08-2016 t/m 06-11-2016)
Aanvangsblok
KW1
Onderwijsvorm
voltijd
Opmerking-
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
WachtlijstNee
Plaatsingsprocedure-
Cursusdoelen

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
Inhoud

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.

Bijzonderheden
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.
Onderwerpen
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
Toetsinformatie
Written exam and assessment of tutorial assignments.
Voorkennis
This is a mandatory course in the specialisation 'Chemistry for life'.
Literatuur
Scientific (review) papers; course handouts
Werkvormen

• 16 hours lecture
• 32 hours problem session
• 36 hours individual study period
Extra information teaching methods: Each lecture will be followed by a Workgroup Meeting (either classroom or computer lab) in which you will be given an assignment. These assignments may be done in pairs.
Verplicht materiaal
Dictaat
Scientific (review) papers
Handouts
Course handouts
Werkvormen
Computerpracticum

Hoorcollege

Werkcollege

Zelfstudie

Toetsen
Tentamen
Weging100
ToetsvormTentamen
GelegenhedenBlok KW1, Blok KW2

SluitenHelpPrint
Switch to English