Andrej Trauner

This study identifies lineage-specific transcriptional network rewiring in Mtb by analyzing proteomic and transcriptomic data from L1 and L2 strains, revealing key regulators like Rv1985c that drive phenotypic differences.

The paper integrates metabolomics and genomics data to identify functional SNPs in Mycobacterium tuberculosis strains, revealing genetic basis for antibiotic sensitivity.

The paper investigates the fitness cost of rifampicin resistance in Mycobacterium tuberculosis using transcriptomic and proteomic profiling, finding that aberrant gene expression causes the cost and that this burden can be suppressed.

Treemmer reduces large phylogenetic datasets by removing redundant leaves, preserving diversity while simplifying the dataset.