Skip to ContentSkip to Navigation
About usFaculty of Science and EngineeringPhD ceremonies

Computational methods for the analysis of bacterial gene regulation

PhD ceremony:Mr R.W.W. Brouwer
When:January 10, 2014
Start:16:15
Supervisor:prof. dr. O.P. (Oscar P) Kuipers
Co-supervisor:S.A.F.T. van Hijum
Where:Academy building RUG
Faculty:Science and Engineering
Computational methods for the analysis of bacterial gene regulation

In this research, we checked the effectiveness of previously developed operon prediction methods and we developed new methods for the prediction of operons. A total of 29 operon prediction methods were reviewed of which only 4 had implementations which were freely available. From these methods, the most commonly used indicators for operons were distilled. With these features we developed our own operon predictions. These predictions are based on minimal feature sets combined with various machine learning methods to yield accurate fast-learning cross-organism operon predictors. In the second part of this research, gene expression during the growth of L. lactis MG1363 was monitored using DNA microarrays. Trends in known processes were analyzed and new actors in these processes were identified. This resulted in a genetic network which can aid in the formulation of testable hypotheses and associated experiments.