@InProceedings{gianfrotta_et_al:LIPIcs.SEA.2021.19,
  author =	{Gianfrotta, Coline and Reinharz, Vladimir and Barth, Dominique and Denise, Alain},
  title =	{{A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures}},
  booktitle =	{19th International Symposium on Experimental Algorithms (SEA 2021)},
  pages =	{19:1--19:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-185-6},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{190},
  editor =	{Coudert, David and Natale, Emanuele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2021.19},
  URN =		{urn:nbn:de:0030-drops-137912},
  doi =		{10.4230/LIPIcs.SEA.2021.19},
  annote =	{Keywords: Graph similarity, clustering, RNA 3D folding, RNA motif}
}