Yannick Hartmaring

usiGrabber automates proteomics data curation from repositories, enabling large-scale dataset creation for machine learning, achieving comparable performance to manual curation.

The paper presents a high-quality acetylation dataset and shows that transfer learning can achieve good performance with minimal data for identifying PTMs.

The paper creates a high-confidence human methylation atlas and develops a deep learning model for methylated peptide detection.

EMBL2checklists automates the conversion of plant DNA barcoding sequences into ENA submission-ready checklists, streamlining data sharing for researchers.