Hanna Marti

This paper develops shuttle vector-based transformation systems for Chlamydia pecorum and Chlamydia caviae, showing successful transformation and fluorescent protein expression, but not for C. abortus.

This paper introduces a computational framework using nanopore sequencing and deep learning to infer microbial viability from raw signal data, showing high accuracy in controlled and real-world applications.

This study tracks Chlamydia pecorum prevalence and infection dynamics in Swiss cattle over a year, finding higher prevalence in calves and conjunctival samples.