Computational and synthetic biology group at CRAG

Our group is interested in applying techniques ranging from modern machine learning and computational structural biology to high-throughput experimental methods such as NGS-based screening, in order to understand how genetic variation affects biological phenotypes (reverse engineering), as well as to design DNA sequences that can generate desired phenotypes (forward engineering). Currently, we are studying how mutations affect heterologous gene expression and transcriptional regulation on microalgae.