Louise Ladefoged Poulsen

Integrative holo-omic data analysis predicts interactions across the host-microbiome axis

The paper integrates holo-omic data from porcine hosts and gut microbiomes to predict host-microbiome interactions, identifying both known and novel relationships.

New high accuracy diagnostics for avian Aspergillus fumigatus infection using Nanopore methylation sequencing of host cell-free DNA and machine learning prediction

The paper develops three diagnostic tests for Aspergillus fumigatus infection in chickens using methylation markers from serum cell-free DNA and machine learning, achieving high accuracy.

Deep learning from videography as a tool for measuring E. coli infection in poultry

This study uses deep learning-based tracking to detect behavioral changes in infected poultry, showing reduced activity in E. coli-infected chickens compared to controls.

Comparison of genomic assembly and annotation based on two clones of avian pathogenic Escherichia coli

The paper compares genomic assembly and annotation methods for two clones of avian pathogenic Escherichia coli using short and long-read sequencing.