Project scope¶

Interop Trace investigates whether independently developed bioinformatics components can exchange usable data. Experiments make the selected sources, formats, software and parameters explicit, then retain native outputs and failure records so outcomes can be explained and compared.

The current implementation covers proteomics: PRIDE measurements, UniProt exports, Sage searches and evaluation. The small example establishes a working combination; it does not certify other datasets, formats or tools. Scientific benchmarking requires reference expectations appropriate to the data.

Experiments execute locally and sequentially. There is no automatic format conversion, compatibility matrix, workflow-result reuse or benchmark leaderboard submission. Python 3.12+ is required; native workflows have their own platform requirements. See components for supported scope.