Protein Location Fingerprinting (PLF) v1.1.0 – Improved CLI, Refined Domain Scoring

Highlights

This release introduces improvements to peptide-domain analysis, CLI usability, and documentation.

Added

• Improved PLF.py functionality with streamlined argument parsing and better handling of paired/unpaired experimental designs.
• Refined scoring and statistical filtering of domain-level differences.
• Improved sample test data structure for reproducibility.

Fixed

• Corrected normalization inconsistencies in certain domain types.
• Better error reporting for peptide file parsing and sample matching.

Dependencies

• Python 3.9
• Requirements listed in requirements.txt (e.g. pandas, numpy, scipy, matplotlib)

Citation

Ozols, M. et al. Peptide Location Fingerprinting Reveals Modification-associated Biomarker Candidates of Ageing in Human Tissue Proteomes. Aging Cell 20, e13355 (2021).
https://doi.org/10.1111/acel.13355

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To cite the software version directly, please refer to the CITATION.cff file or use the Zenodo DOI provided below once available.

v1.0.0

First release