Data interpretation environments
Over the past decade, omics experts and bioinformaticians have created a substantial distance between the biologist and his/her experiment. This results in a serious obstacle between the biologist’s experience and knowledge and the interpretation of the omics results. To overcome this, we will research and develop environments that allow for convenient exploration of omics data. Some of these environments will be extensive visualizations following the data analysis workflows. Others will be organized as so-called “result browsers” that can be operated with ease by computer-naïve scientists. An important aspect of these result browsers is their ability to summarize complex results, quickly make desired comparisons and allow flexible result exploration.
People working on this research line:
Dr. Han Rauwerda
J.Rauwerda at uva.nl