Anna Halama

AutoFocus identifies multi-omic disease-associated modules across biological scales using a hierarchical framework, applied to type 2 diabetes and Alzheimer's datasets.

This study performs a genome-wide association study using mass spectrometry proteomics to identify pQTLs, finding that epitope effects may affect some affinity proteomics results while confirming others.

This study uses mass spectrometry proteomics to identify protein altering variants and map pQTLs, confirming target specificity and identifying novel variants not accessible by affinity proteomics.

This study presents the first large-scale IgA glycomics dataset from twins, identifies shared and specific genetic loci influencing IgA and IgG glycosylation, and shows genetic conservation across ethnicities.

piTracer identifies synergistic drug targets by analyzing metabolomics data to reconstruct molecular cascades and predict combination therapies.