Emily Bowler-Barnett

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

This paper performs a meta-analysis of 11 phosphoproteomics datasets to identify phosphorylated sites in Plasmodium falciparum and related species, revealing sequence motifs, conservation patterns, and structural context of phosphosites.

This study analyzes rice phosphoproteomics data to identify phosphosite variations across the rice pan-genome and their functional implications.

The paper reannotates ligand binding sites in UniProtKB using ChEBI identifiers and improves search facilities for these annotations.

The paper estimates the false discovery rate of phosphosites in public databases and predicts a more realistic count of true phosphosites in the human proteome.

The paper introduces a standardized framework for ancestry data representation in genomics studies and applies it to the NHGRI-EBI GWAS Catalog to improve data integration and analysis.