domains / families / science / gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications. Supports Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and the CLI.
The K-Dense-AI copy is a rigorous, version-pinned audit and trust-gate procedure (exact 0.10.0 pins, SHA-256 verification, coordinate/strand/assembly data contract, and a local validator). The other three copies (Vibe-Skills, medical-research-skills, and OpenClaw-Medical-Skills) are high-level usage guides that provide the actual API and CLI workflows (overlap, coverage, tokenization, refget, fragment processing) but lack the safety and data-integrity constraints. The Vibe-Skills and OpenClaw copies are nearly identical and contain a typo in the Python install command (`uv uv pip install`), while the medical-research-skills copy is a summarized version of the same guide. Because the K-Dense copy lacks the practical API examples and the other copies lack the critical safety and data-contract steps, crowning one would hide a real alternative procedure.