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FactorForge — open-source constraint-based CDS design engine by Eijex.

Project description

FactorForge

Open-source constraint-based CDS design engine for Nicotiana benthamiana expression workflows.

License Python Version PyPI Web App

FactorForge optimizes protein sequences into N. benthamiana-compatible CDS by maximizing CAI, controlling GC content, eliminating PolyA signals, and producing MoClo/Golden Gate-ready constructs.

Full Documentation


Quick Start

pip install factorforge-cds
factorforge optimize my_protein.fasta -o output.fasta

Or use the web app — no installation required.


Access Options

Method Description Link
Web App No installation, demo & light use factorforge-cds.vercel.app
CLI / Python Local use, batch processing, data privacy pip install factorforge-cds
Docker Full web interface locally docker pull ghcr.io/eijex/factorforge-cds:latest

⚠️ Validation Status

FactorForge predictions are in-silico only and have not been experimentally validated in wet-lab conditions. See Validation and VALIDATION.md.


Citing

FactorForge v3.1.1 (2026). Open-source constraint-based CDS design engine.
Eijex. https://github.com/eijex/factorforge-cds

A citable publication is in preparation.


License

Apache License 2.0 — see LICENSE.

Disclaimer: FactorForge is provided for research purposes only. Predictions are computational and have not been experimentally validated.


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