@article {68716, title = {PEELing: an integrated and user-centric platform for cell-surface proteomics analysis}, journal = {Bioinformatics}, year = {2025}, month = {2025 Aug 6}, abstract = {

Summary:\ Molecular compartmentalization is vital for cellular physiology. Spatially-resolved proteomics allows biologists to survey protein composition and dynamics with subcellular resolution. Here we present PEELing, an integrated package and user-friendly web service for analyzing spatially-resolved proteomics data. PEELing assesses data quality using curated or user-defined references, performs cutoff analysis to remove contaminants, connects to databases for functional annotation, and generates data visualizations-providing a streamlined and reproducible workflow to explore spatially-resolved proteomics data.

Availability and implementation:\ PEELing and its tutorial are publicly available at https://peeling.janelia.org/ (Zenodo DOI: 10.5281/zenodo.15692517). A Python package of PEELing is available at https://github.com/JaneliaSciComp/peeling/ (Zenodo DOI: 10.5281/zenodo.15692434).

Contact:Technical support for PEELing: peeling@janelia.hhmi.org.

bioRxiv Preprint:\ https://doi.org/10.1101/2023.04.21.537871

}, doi = {10.1093/bioinformatics/btaf439}, url = {https://doi.org/10.1093/bioinformatics/btaf439}, author = {Xi Peng and Jody Clements and Zuzhi Jiang and Stephan Preibisch and Jiefu Li} }