TEPIC
TEPIC is a software package for integrative analysis of open-chromatin datasets for TF binding affinity prediction. It can be combined with gene annotation to provide gene-level estimates of TF regulation.
Authors
Marcel H. Schulz, PhD
(he/him)
Professor for Computational Biology
I am a Computational Biologist by education. I develop computational
systems biology models and machine learning algorithms that further
the understanding of gene regulation. We work on groundbreaking computational methods
that enable novel approaches for personalized medicine applications in the
context of different human diseases. We live and breathe open-source development.