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Ribonanza: deep learning of RNA structure through dual crowdsourcing
by
He, Shujun
,
Huang, Rui
,
Townley, Jill
,
Kretsch, Rachael C
,
Karagianes, Thomas G
,
David Bt Cox
,
Blair, Hamish
,
Penzar, Dmitry
,
Vyaltsev, Valeriy
,
Aristova, Elizaveta
,
Zinkevich, Arsenii
,
Bakulin, Artemy
,
Sohn, Hoyeol
,
Krstevski, Daniel
,
Fukui, Takaaki
,
Tatematsu, Fumiya
,
Uchida, Yusuke
,
Jang, Donghoon
,
Lee, Jun Seong
,
Shieh, Roger
,
Ma, Tom
,
Martynov, Eduard
,
Shugaev, Maxim V
,
Habib St Bukhari
,
Fujikawa, Kazuki
,
Onodera, Kazuki
,
Henkel, Christof
,
Shlomo, Ron
,
Romano, Jonathan
,
Nicol, John J
,
Nye, Grace P
,
Wu, Yuan
,
Choe, Christian
,
Reade, Walter
,
Participants, Eterna
,
Das, Rhiju
Published in
bioRxiv
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Biorxiv
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Deep Learning
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Neural Networks
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Nucleotide Sequence
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Patent Applications
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Protein Structure
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Ribonucleic Acid
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Rna
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Secondary Structure
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Tertiary Structure
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Coronavirus Research Database
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