PNNL-Predictive-Phenomics/ProteoMeter
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.
Authors
- Jordan C. Rozum (ORCID: https://orcid.org/0000-0002-4356-9809)
- Song Feng (ORCID: https://orcid.org/0000-0003-3983-9009)
- Nellie Ciesielski
Institutions
- Pacific Northwest National Laboratory (US)
Publication Details
- Journal
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.11578/dc.20250514.2
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article