Epigenetic mechanisms control gene expression in a way that is stably propagated over multiple cell divisions, but which is also flexible enough to respond to environmental influences.
This intermediate position between stability and plasticity renders epigenetic information highly useful for monitoring cellular states in the context of personalized medicine.
Within the CANCERDIP project, our goal is to develop DNA methylation biomarkers for two major cancers, leukemia and colon cancer.
I will discuss the bioinformatic challenges of epigenetic biomarker discovery and present a systematic procedure for cost-efficient biomarker discovery, optimization and validation.
The talk will also introduce three bioinformatic tools that we have developed to facilitate epigenetic biomarker discovery:
MethMarker (http://methmarker.mpi-inf.mpg.de/), EpiGRAPH (http://epigraph.mpi-inf.mpg.de/) and BiQ Analyzer (http://biq-analyzer.bioinf.mpi-inf.mpg.de/).