Anthony S. Barente

MARLOWE is a computational tool for taxonomic characterization of unknown forensic samples using de novo peptide identification, achieving high specificity in species-level identification.

The paper maps the yeast phosphoproteome under 101 perturbations, identifying 25,000 regulated phosphosites and revealing stress response programs and regulatory networks.

The paper introduces pyAscore, a Python package for scoring PTM localization in mass spectrometry data, enhancing workflow integration and versatility.

The paper introduces a method to coisolate and fragment SILAC peptide pairs for improved identification and quantification in MS/MS-based proteomics.

The paper introduces a proteomic technology called Miro to identify amino acid substitutions that affect protein function by using mistranslation and mass spectrometry.