Data Integration in the Life Sciences
February 2-6, 2015 at Lorentz Center in Leiden, Netherlands
Training Course supported by ERASysAPP
In striving to understand biological systems, it is necessary to combine multiple, diverse data sets concerning the system’s components and their interactions. This integration is hampered by the fact that in many modern data acquisition technologies each concentrate on one specific component, for example a certain type of molecule. Proteomics, metabolomics and transcriptomics are all examples of such methods. To overcome this problem, novel approaches are being developed, enabling the integration of disparate data sets in such a way that they remain biologically feasible, and which provide insight into the architecture and dynamics of biological systems.
Aims of the course
The course will provide
- an overview of different types of data sets and data integration approaches
- hands-on training on how to apply such approaches
- insight into how these approaches may affect individual research projects
Students will learn how to select the optimal data integration and modeling approaches based on their data types and research aims, in order to develop appropriate predictive and quantitative computational models.
Participation is limited to 20 PhD students and postdocs to allow for a training approach that takes the individual research aims of the student into account.
The online registration is closed.
This course is organised by Prof. Roel van Driel and supported by ERASysAPP and the Dutch systems biology and bioinformatics community (BioSB).