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DOE OSTI · code-155325

PNNL-Predictive-Phenomics/ProteoMeter

Abstract

ProteoMeter is a Python package that assists in the statistical analysis of global proteomics, protein post-translation modification (PTM), and limited proteolysis (LiP) data. It contains batch correction, normalization, and statistical testing methods, as well as functions that "roll up" peptide-level data to the single-site level. It has a robust user configuration system, allowing it to flexibly integrate different types of experiment designs. For basic usage, a simple configuration file provides the essential functionality. Advanced users have access to the entire statistical pipeline for fine-tuning analyses. Processed data is easily exported to many common spreadsheet and data-frame formats.

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BibTeXRIS

Rozum, Jordan [Pacific Northwest National Lab], (馮松), Song Feng [Pacific Northwest National Laboratory], Ciesielski, Nellie [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]. 2025-05-14. PNNL-Predictive-Phenomics/ProteoMeter. https://doi.org/10.11578/dc.20250514.2

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