Proteomics CSV Validation System
Abstract
Proteomics CSV Validation System is a local Python application for structural review of processed-sample proteomics files in comma-separated values (CSV) format. The command-line interface validates required columns, sample identifiers, required values, and configured header mappings. The loopback-only browser interface presents results and supporting evidence, stores review history in SQLite, compares validation results deterministically, and exports Result Bundles. Rule-based findings flag configured structural conditions for human review before downstream analysis. Findings require human review; the software does not automatically accept or reject data. The software does not perform raw liquid chromatography-mass spectrometry data processing, protein inference, imputation, normalization, batch correction, statistical analysis, biological interpretation, or clinical interpretation. Version 0.5.0 was developed as the graduate capstone project required for the Master of Science in Information Technology program at the University of the People. As the post-capstone open-source successor, version 0.5.1 adopts Apache License 2.0 and updates citation, packaging, and release documentation without changing validation logic or bundled validation profiles. The v0.5.1 regression suite contains 342 passing tests.
