Felipe da Veiga Leprevost

The paper introduces TMT-Integrator, a tool for analyzing isobaric proteomic data, showing improved performance in protein and phosphorylation site quantification compared to existing tools.

The paper quantifies protein abundance across human tissues and identifies genetic factors influencing protein levels, revealing both shared and tissue-specific genetic architectures.

The paper improves experimental design and normalization for multiplex proteomics by introducing reference samples and technical replicates, and presents ProMix to enhance analysis performance.

PTM-Shepherd automates analysis of post-translational modifications from open search proteomics data, improving detection of artifacts and biases across experiments.

The paper introduces the Omics Discovery Index, a platform to search and link public omics datasets across different fields, addressing challenges in data organization and accessibility.