Integratie: Sequence Analysis
In the post-genomic era, the analysis of large omics datasets has become central to bioinformatics and biological research. The development of many high throughput techniques for genome sequencing and measuring the expression or abundance of genes, proteins and metabolites, has given rise to a plethora of new informatics algorithms and techniques for analysing and interpreting the experimental data. This course will introduce omics analysis techniques at the genomic, transcriptomic, proteomic and metabolomic levels, for molecular and bioimaging data, and will introduce students to commonly used computational methods and frameworks for large-scale analysis.
Gain a theoretical and practical understanding of the informatics analysis methods required for interpreting data generated by new technologies in omics
Gain practical experience of commonly used computational languages in bioinformatics
De meest recente roosters zijn te vinden op de Studenten-website:
Most lectures had already taken place when teaching was suspended. For the two missed lectures and missed practical class, we have identified some existing online content for the students to follow in self-study. Details available on Blackboard.
The planned excursion to BaseClear has been postponed
The exam scheduled for 23rd March has been postponed until the summer
Onlne practical exercise
2 assignments (50%)
Practical Classes (10%)
Practical assignments (40%)
Links to reading material and course literature will be provided throughout the course in the lectures and on Blackboard.
Aanmelden via Usis: Selfservice > Studentencentrum > Inschrijven Activiteitencodes te vinden via de facultaire website
Dr Katy Wolstencroft – email and skype names available on Blackbaord
Prof Fons Verbeek – email and skype names available on Blackboard
Prof Vera van Noort - email and skype available on Blackboard
Dr Magnus Palmblad – email and skype available on Blackbaord
Onderwijscoördinator Informatica, Riet Derogee