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CultureBotAI — KG-Microbe by Dr. Marcin P. Joachimiak | AI for Microbial Cultivation |
CultureBotAI develops KG-Microbe, a modular microbiology knowledge graph led by Dr. Marcin P. Joachimiak (LBNL), with AI/ML for growth preference prediction and culture optimization. |
CultureBotAI is a research initiative at Lawrence Berkeley National Laboratory in Berkeley, California, developing AI-driven tools and knowledge graphs for microbial cultivation and computational biology.
Led by Dr. Marcin P. Joachimiak, CultureBotAI focuses on the KG-Microbe knowledge graph and AI-powered solutions for microbial research, cultivation, and analysis.
CultureBotAI is affiliated with Lawrence Berkeley National Laboratory and develops AI-powered solutions for microbial research, cultivation, and analysis. We create intelligent tools that enhance laboratory workflows, optimize culture conditions, and accelerate microbiological discoveries.
Principal Investigator: Dr. Marcin P. Joachimiak (BBOP) Laboratory: Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory Location: Berkeley, California, USA
Our primary research areas include:
- Cultivation of isolated and novel organisms
- Culture optimization through data-driven approaches
- Growth preference prediction using machine learning and AI methods
The comprehensive modular knowledge graph that powers CultureBotAI, developed by Dr. Marcin P. Joachimiak. This resource integrates diverse microbial data to enable AI-driven insights.
Read our bioRxiv preprint by Dr. Marcin P. Joachimiak detailing the development and applications of the KG-Microbe knowledge graph.
Microbial experimental and theoretical preference ontology for standardizing growth preference data.
CultureBotAI's projects form an integrated ecosystem built on the kg-microbe knowledge graph:
- Data processing pipelines prepare chemical, genomic, and literature data
- AI agent systems combine multiple data sources for intelligent predictions
- Specialized applications target specific research domains (PFAS, lanthanide)
- Web services provide API access to prediction models
Explore the complete project ecosystem →
CultureBotAI is a research initiative at Lawrence Berkeley National Laboratory in Berkeley, California, that develops AI-driven tools and knowledge graphs for microbial cultivation and computational biology.
CultureBotAI is led by Dr. Marcin P. Joachimiak, a scientist specializing in microbiology, knowledge graph development, and computational biology at Lawrence Berkeley National Laboratory.
CultureBotAI focuses on three main areas: (1) cultivation of isolated and novel organisms, (2) culture optimization through data-driven approaches, and (3) growth preference prediction using machine learning and AI methods.
CultureBotAI is based at Lawrence Berkeley National Laboratory in Berkeley, California, within the Environmental Genomics and Systems Biology Division.
KG-Microbe is a comprehensive modular knowledge graph developed by Dr. Marcin P. Joachimiak that integrates diverse microbial data sources to enable AI-driven insights for growth prediction and culture optimization.
KG-Microbe is available on GitHub at https://github.com/Knowledge-Graph-Hub/kg-microbe under the BSD-3-Clause license. The preprint is available at https://doi.org/10.1101/2025.02.24.639989
- 🔬 Research Areas - Detailed overview of our research focus
- 📚 Resources - Tools, databases, and knowledge graphs
- 📄 Publications - Papers, preprints, and presentations
- 👥 About - Team information and lab details
- 🔗 GitHub Organization - Browse our repositories
Cultivating the future of microbial research, one algorithm at a time.