EPIC aim

We aim develop and evaluate a community-driven suite of computational methods for predicting genome-wide transcription initiation profiles in non-model eukaryotic species. We hope that an open infrastructure of this kind will advance our understanding of promoter architectures and transcriptional initiation mechanisms, as well as their respective stability and plasticity across organs of the same species and across the evolutionary tree of life.