Integratie: Sequence analysis, Integratie: Technology Trends
This course explores the use, reuse and reproducibility of data in biomedical science. As the amount and variety of biological data grows, we face new challenges in recording, publishing and sharing scientific results in a way that will allow further integration and exploitation. Consequently, data integration and reuse are central concerns in bioinformatics.
The course will cover 1) the principles and application of FAIR data (i.e. that data should be Findable, Accessible, Interoperable and Reusable), 2) the importance of provenance in data collection, analysis and aggregation, and 3) computational methods to improve reuse and reusability in science (including data standards, semantic annotation and scientific workflows).
Understand the principles of FAIR data and their growing importance across science
Obtain knowledge on the computational challenges and solutions for biological data sharing and integration.
Obtain (practical) knowledge on important tools for biological data processing, annotation and sharing
De meest recente roosters zijn te vinden op de Studenten-website:
Practical Assignments (70%)
Practical classes (10%)
- Scientific papers from conferences, workshops and journals.
Onderwijscoordinator Riet Derogee