Petra Kolkhof

The paper uses live-cell imaging to monitor circadian rhythms in Synechocystis cells without reporters, finding no circadian gating of cell division but rhythmic changes in refractive index.

This paper develops workflows for whole-genome sequencing to identify genetic variation in Synechocystis strains and highlights the importance of strain validation in knock-out studies.

This paper designs bi-stable RNA molecules using deep learning by optimizing sequences through gradient-guided search based on superimposed target structures.

The paper develops PGExpress, a tool to predict translation efficiency in E. coli using mRNA sequence features, achieving 74% accuracy and 0.81 AUC.