https://video.igem.org/videos/watch/efec911a-b4ca-4945-a43a-b7a513afffbc Title: SYNOVA | predict before you produce Description: SYNOVA | Predict Before You Produce | iGEM 2026 ‏ How can we turn agricultural waste into an opportunity for sustainable bioethanol production? ‏, SYNOVA (Synthetic Yeast Next-Generation Organisms Valorization Application ) is our iGEM 2026 project developed by Al-Nahrain Iraq, combining computational biology, artificial intelligence, and laboratory experimentation to explore more efficient fermentation strategies. ‏Using yeast-related genomic data, computational modeling, and machine learning, SYNOVA aims to predict yeast performance, evaluate fermentation conditions, and support data-driven decisions for bioethanol production from Iraqi date palm waste. ‏By connecting dry-lab predictions with wet-lab investigations, our project explores how computational tools can guide biological experimentation, reduce trial and error, and support the development of more sustainable biotechnological solutions. ‏From Iraq’s agricultural resources to the future of AI-driven biotechnology. This is SYNOVA. This is Al-Nahrain Iraq. ‏ iGEM 2026 | Al-Nahrain Iraq Wiki | Official Page Thu, 29 Oct 2026 22:21:29 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.igem.org https://video.igem.org/client/assets/images/icons/icon-1500x1500.png https://video.igem.org/videos/watch/efec911a-b4ca-4945-a43a-b7a513afffbc All rights reserved, unless otherwise specified in the terms specified at https://video.igem.org/about and potential licenses granted by each content's rightholder.