Asker Brejnrod

MAGinator quantifies strain-level abundance of metagenome-assembled genomes and infers their functional and phylogenetic profiles from shotgun metagenomics data.

NPOmix connects mass spectrometry fragmentation data to biosynthetic gene clusters using a k-nearest neighbor classifier, improving metabolite discovery and structure prediction.

The paper analyzes gut metagenomes from pigs to investigate co-occurrence patterns of antibiotic resistance genes (ARGs) with metal and biocide resistance genes, finding non-random phylogenetic associations.

The paper introduces Qemistree, a method for analyzing metabolomics mass spectrometry data using hierarchical molecular fingerprints and chemical ontologies to explore chemical composition.

The paper examines the stability of maternal vaginal microbiota during pregnancy and its impact on early infant colonization through analysis of 700 mother-child dyads.

The paper provides efficient implementations of the Chemical Structural and Compositional Similarity metric in R and Python, significantly improving speed and usability for metabolomics analysis.

DAtest is an R package that empirically compares statistical methods for differential expression or abundance directly on a user's own dataset across diverse omics types.