Martin Kucklick

This paper presents a framework for peptide identification using commercial nanopore sequencing platforms, achieving single-amino-acid resolution and reliable performance across sequencing runs.

The paper introduces seq2squiggle, a transformer-based model for simulating nanopore sequencing signals, which outperforms existing tools on real data.

The paper combines stem cell models and computational predictions to identify flavin cofactors as therapeutic targets for metabolic liver dysfunction.

The paper uses complementary Ribo-seq methods to map the translatome of Campylobacter jejuni, identifying novel small open reading frames and refining gene annotations.

The paper presents a proteogenomics workflow to identify small proteins in Staphylococcus aureus, finding 185 SP100, 69 of which were previously unannotated.