SOURCE-LINKED INTELLIGENCE
Next-generation engineering of gas-fermenting cell factories through large-scale systems-level maps
r up to ~750 strains through high-throughput gas fermentation and –omics analyses. Big data will be translated into a systems-level acetogen knowledgebase–A-BASE–through integrated bioinformatics and machine learning, metabolic modelling, and data engineering. Finally, we apply A-BASE to engineer acetogen cell factories from the “unexplored territories” of essential genes, transcription factors, and proteome “dark matter” for improving production of ethanol and acetone. This project will create superior gas-fermenting cell factories, advance fundamental understanding of acetogen metabolism, and pioneer a new workflow for creating large-scale arrayed engineered microbial strain libraries. acetogens, genotype-phenotype relationships, gas fermentation, omics, metabolic engineering, big data analysis
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2330500
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.