Silvie Korena Fexova

The paper reanalyzes public DIA proteomics datasets to provide a baseline view of human protein expression across tissues and compares it with previous DDA results.

The paper reanalyzes public pig proteomics data to map baseline protein expression across 14 organs and compares it with human orthologs.

The paper reanalyzes proteomics datasets from mouse and rat tissues to compare baseline protein expression across species and organs, finding high correlation among orthologs in brain, kidney, heart, and liver.

The paper introduces a standardized metadata format for proteomics datasets to improve reusability and integration across public repositories.

The paper introduces an interactive scRNA-Seq analysis environment based on Galaxy, integrating ~70 functions for scalable and accessible single-cell data analysis.