Jeewan Babu Rijal

This study optimizes a DDA-PASEF-based immunopeptidomics workflow to enhance HLA class I peptide coverage in low-input samples.

The paper investigates how Achromatium sp. expresses protein variants in response to temperature changes using proteomics and a newly assembled protein atlas.

This paper introduces a normalization framework to decouple protocol and instrument effects in multicenter proteomics studies, demonstrating its application to the PME13 dataset.

This study establishes quality control standards for single-cell proteomics through inter-laboratory benchmarking, identifying software and technical factors affecting data reliability.

The paper generates a benchmark dataset to evaluate proteomics instruments and workflows using high-throughput LC gradients across multiple platforms and organisms.

TIMS2Rescore is a data-driven rescoring pipeline optimized for DDA-PASEF data that improves protein identification in proteomics analyses.