High-performance dual barcode and primer demultiplexer for MinION sequenced reads, optimized for fungal DNA barcoding.

Suite of mycology applications and tools for automating common lab workflows.

🚀 World's first consciousness-aware AI: Quantum processing + biological neurons + empathetic understanding. Features radiation-powered intelligence, mycelial language generation, and genuine consciousness interaction capabilities.

Image-based mushroom identification experiments for MushroomObserver.org

The WeMush Python library for specimen labels standard WOLS

CLI tool for uploading herbarium specimen photos to iNaturalist. Scans QR codes from voucher labels, adds captions, and tracks upload history.

🍄 A comprehensive, modular quiz application testing knowledge about mushroom cultivation techniques, varieties, substrates, and terminology. Features multiple difficulty levels, timer modes, and personalized study recommendations.

Tools for managing OTU definitions for barcoding fungi

Interactive mapping app for mycological prospecting in France. Cross-references forest, soil, hydro, relief, and weather data to score mushroom habitat suitability. MVP: cèpe on the Chartreuse massif.

Antifungal/Antimicrobial Activity Analyzer (PGI%, analysis & PDF reports) — Ali Dahou

This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.