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Protein program domain models, lifecycle gates, and execution interfaces for stage-based discovery workflows

Project description

bijux-proteomics-core

Python 3.11+ Typing: typed License: Apache-2.0 CI Status GitHub Repository

bijux-proteomics-core agentic-proteins bijux-proteomics-foundation bijux-proteomics-intelligence bijux-proteomics-knowledge bijux-proteomics-lab

bijux-proteomics-core agentic-proteins bijux-proteomics-foundation bijux-proteomics-intelligence bijux-proteomics-knowledge bijux-proteomics-lab

bijux-proteomics-core docs agentic-proteins docs bijux-proteomics-foundation docs bijux-proteomics-intelligence docs bijux-proteomics-knowledge docs bijux-proteomics-lab docs

bijux-proteomics-core defines the central protein program domain, including entities, lifecycle transitions, review gates, assay requirements, and execution interfaces used across the platform.

Use this package when you need stage-based governance for protein programs, deterministic progression rules, and enforceable domain contracts for decision and execution pipelines.

Why teams pick this package

  • explicit protein program contracts with validated lifecycle progression rules
  • deterministic gate transitions that prevent invalid stage advancement
  • strongly typed models for targets, assays, reviews, and governance outcomes
  • stable interfaces for orchestration and repository integration

Typical use cases

  • model a protein program from inception through review-gated progression
  • enforce invariant checks before promotion, approval, or execution
  • build service layers on top of shared program and repository contracts
  • integrate CLI-driven domain workflows in local or CI automation

Installation

pip install bijux-proteomics-core

Quick start

bijux-proteomics --help

Import-driven usage starts from the core domain package:

from bijux_proteomics import program_spec, validation

Package boundaries

This package owns lifecycle domain models, progression rules, and validation invariants.

It does not own evidence trust policy, ranking policy, or lab scheduling behavior.

Source guide

Documentation

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