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BioinformaticsSystems BiologyPeer-reviewed journal article

PEELing: an integrated and user-centric platform for spatially-resolved proteomics data analysis

Xi PengiD, Jody ClementsiD, Zuzhi JiangiD, Shuo HaniD, Stephan PreibischiD, Jun LiiD

PDFDOIPreprintCode

Abstract

SummaryMolecular 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 ImplementationPEELing and its tutorial are publicly available at https://peeling.janelia.org/. A Python package of PEELing is available at https://github.com/JaneliaSciComp/peeling/. ContactTechnical support for PEELing: peeling@janelia.hhmi.org.

Citations
4
FWCI
1.01
Field percentile
top 29%

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