{"id":3361,"date":"2024-02-27T20:01:30","date_gmt":"2024-02-27T20:01:30","guid":{"rendered":"https:\/\/daslab-tmp.su.domains\/?p=3361"},"modified":"2024-08-20T19:56:49","modified_gmt":"2024-08-20T19:56:49","slug":"weve-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","status":"publish","type":"post","link":"https:\/\/daslab-tmp.su.domains\/?p=3361","title":{"rendered":"We&#8217;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 &#8212; check out our preprint: Ribonanza: deep learning of RNA structure through dual crowdsourcing."},"content":{"rendered":"<p>We&#8217;ve released chemical mapping data on 2.1M RNA sequences as well as a deep learning model RibonanzaNet, distilled from an 800-team\u00a0<a href=\"https:\/\/www.kaggle.com\/c\/stanford-ribonanza-rna-folding\/\">Kaggle competition<\/a>\u00a0and the\u00a0<a href=\"https:\/\/eternagame.org\/challenges\/11843006\">Eterna OpenKnot challenge<\/a>. All data and models are publicly available &#8212; check out our preprint:\u00a0<b><a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2024.02.24.581671v1.article-info\">Ribonanza: deep learning of RNA structure through dual crowdsourcing<\/a><\/b>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We&#8217;ve released chemical mapping data on 2.1M RNA sequences as well as a deep learning model RibonanzaNet, distilled from an 800-team\u00a0Kaggle competition\u00a0and the\u00a0Eterna OpenKnot challenge. All data and models are publicly available &#8212; check out our preprint:\u00a0Ribonanza: deep learning of RNA structure through dual crowdsourcing.<\/p>\n","protected":false},"author":1,"featured_media":3335,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-3361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=\/wp\/v2\/posts\/3361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3361"}],"version-history":[{"count":0,"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=\/wp\/v2\/posts\/3361\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=\/wp\/v2\/media\/3335"}],"wp:attachment":[{"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/daslab-tmp.su.domains\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}