We’ve released chemical mapping data on 2.1M RNA sequences as well as a deep learning model RibonanzaNet, distilled from an 800-team Kaggle competition and the Eterna OpenKnot challenge. All data and models are publicly available — check out our preprint: Ribonanza: deep learning of RNA structure through dual crowdsourcing.
We’ve released chemical mapping data on 2.1M RNA sequences as well as a deep learning model RibonanzaNet, distilled from an 800-team Kaggle competition and the Eterna OpenKnot challenge. All data and models are publicly available — check out our preprint: Ribonanza: deep learning of RNA structure through dual crowdsourcing.
