<p>A graph-based approach to classify A-minor motifs in RNA structures according to their structural context</p>

Coline Gianfrotta; Vladimir Reinharz; Olivier Lespinet; Dominique  Barth; Alain Denise

doi:10.7490/f1000research.1118288.1

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Gianfrotta C, Reinharz V, Lespinet O et al. A graph-based approach to classify A-minor motifs in RNA structures according to their structural context [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1064 (poster) (https://doi.org/10.7490/f1000research.1118288.1)

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A graph-based approach to classify A-minor motifs in RNA structures according to their structural context

Coline Gianfrotta¹, Vladimir Reinharz, Olivier Lespinet, Dominique Barth, Alain Denise

Published 29 Aug 2020 (https://doi.org/10.7490/f1000research.1118288.1)

Author Affiliations

¹ Université de Versailles Saint-Quentin-en-Yvelines, Université Paris Saclay, France

Copyright © 2020 Gianfrotta C et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 29 Aug 2020

A graph-based approach to classify A-minor motifs in RNA structures according to their structural context
[version 1; not peer reviewed]

Coline Gianfrotta¹, Vladimir Reinharz, Olivier Lespinet, Dominique Barth, Alain Denise

Author Affiliations

¹ Université de Versailles Saint-Quentin-en-Yvelines, Université Paris Saclay, France

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

RNA 3D folding, A-minor motifs, clustering , graph-based approach

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