A declarative DSL and compiler for reproducible gene-editing design — with LLM agents and an MCP server so any AI agent can drive it safely.
Computational pipeline for designing multiplexed CRISPR-Cas12a diagnostic panels targeting drug-resistant Mycobacterium tuberculosis
Scalarization-free multi-objective preference alignment for generative CRISPR sgRNA design — standard DPO over Pareto-dominance preferences. Reproducible seeded pipeline, publication figures, and reviewer responses. Runs in <0.6 GB VRAM.
AI-assisted platform for designing CRISPR experiments — from target selection to bench-ready protocols
Local CRISPR-Cas9 guide off-target scanner. Core PAM scan verified correct via property testing against 500 random sequences; added a bound on max_mismatches to prevent degenerate output near the random-match noise floor.
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