Anna Kaarina Pöntinen

This study traces the evolutionary path from ST131-B to ST131-C clades in E. coli by analyzing genomic data from ST131-B0 isolates, revealing genetic changes associated with antibiotic resistance and host adaptation.

This paper uses machine learning to predict the prevalence of ST131-C in UTIs and BSIs using antimicrobial susceptibility data, finding a link between UTI prevalence and BSI burden.

This study sequenced 4,475 H. influenzae isolates from Thailand and combined them with global data to show pervasive recombination and purifying selection, with MDR lineages widespread and not restricted to disease-causing subpopulations.

PAN-GWES identifies co-selected and epistatic genomic variations in bacterial genomes using de Bruijn graphs to analyze drug resistance and adaptation traits.

The paper introduces LDWeaver, a method to detect co-selection in bacterial genomes by analyzing both short- and long-range linkage disequilibrium, and validates findings using functional annotation and phenotypic measurements.

The paper introduces a computational pipeline for consistent plasmid typing using long-read sequencing data, enabling classification of novel and known plasmid types.