Christian Brinch

Improved Metabolic Flux Estimations through Compositional Data Analysis

This paper improves metabolic flux estimation by applying compositional data analysis to isotopic metabolic flux analysis, reducing mean squared error and narrowing confidence intervals.

Calibrating for absolute microbiome abundances without spike-ins

This paper introduces MGCalibrator, a tool for spike-in free absolute abundance estimation in metagenomics, validated against qPCR and applied to track antibiotic resistance genes in wastewater.

Time-series sewage metagenomics can separate the seasonal, human-derived and environmental microbial communities, holding promise for source-attributed surveillance

This study uses sewage metagenomics to distinguish seasonal, human-derived, and environmental microbial communities, offering potential for improved AMR surveillance.

Utilizing co-abundances of antimicrobial resistance genes to identify potential co-selection in the resistome

The paper identifies co-occurring antimicrobial resistance genes (ARGs) in metagenomic datasets to highlight potential co-selection in resistomes across different environments.

A curated data resource of 214K metagenomes for characterization of the global resistome

The paper curates a large metagenomic dataset to study the global distribution and dynamics of antimicrobial resistance genes.