SURF
Utrecht
Netherlands
The amount of Life Science data available in the public domain is a vast and growing resource for bioinformatics research. There are over 20 million papers in PubMed and over 1600 biological databases. In many cases finding and applying the information from these resources is far from trivial. Following this course will show you techniques for working with these distributed resources, which includes using the web of Linked data and scientific workflows. It will also focus on methods for using or linking your own data into this large distributed Semantic Web of resources, in order to ensure that your data is FAIR (Findable, Accessible, Interoperable and Reusable).
This course introduces modern techniques for the management of life science data and knowledge for bioinformatics applications. After following this course students should be able to start creating their first applications based on these technologies or make more informed design decisions for their current application.
In this course you will learn about:
- Linked Data and the Semantic Web technologies that underpin it
- How you can use Linked Data for data and knowledge integration in the Life Sciences
- Available Linked Data resources in the public domain and large-scale projects that use these resources
- How you can integrate your own data with Linked Data resources
- How you can combine data integration and analysis over distributed resources, using Web Services and workflows