bijux-proteomics-runtime

Bijux Proteomics is described as a bounded proteomics product designed for scientific workflows that are benchmark-backed and enable reviewable execution, grounded interpretation, and explicit downstream laboratory consequence. The platform emphasizes maintaining visibility of the cost of being wrong in scientific analysis, with a focus on rigorous evidence, recommendation posture, and consequence management. Its structure has evolved beyond governance of isolated packages to incorporate a deeper scientific core and public benchmark packets, supporting a variety of workflow families relevant to proteomics research.

The tool supports public runtime rerun, replay, verification, and refusal routes, allowing for auditable and repeatable scientific workflows. It provides grounded claim and contradiction surfaces with real biological context, as well as mechanisms for recommendation confidence, challenge, regret, and downgrade. Assay planning, readiness, refusal, and outcome-learning consequence routes are also part of its functionality, aiming to ensure that scientific recommendations and results are both transparent and accountable.

Bijux Proteomics currently provides outsider-auditable workflow support for data-dependent acquisition (dda), data-independent acquisition (dia), post-translational modification (ptm), and targeted review-grade workflows. It also mentions bounded support for label-free quantification (lfq) and internal support for multiplex workflows. These capabilities are underpinned by benchmark packages, runtime rerun evidence, grounded claim review, and explicit boundaries for recommendations and laboratory consequences.

The repository is organized to help users—such as scientists, operators, and maintainers—navigate scientific trust, rerun workflows, and safely evolve the repository. It covers core biology and chemistry surfaces, including sequence, spectra, mzML, identification, quantification, DIA, PTM, and targeted review. The platform is delivered as a repository, and its documentation is structured to guide users through product architecture, workflow families, decision support, and verification routes.