A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures

Coline Gianfrotta, Vladimir Reinharz, Dominique Barth, Alain Denise. A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures. In David Coudert, Emanuele Natale, editors, 19th International Symposium on Experimental Algorithms, SEA 2021, June 7-9, 2021, Nice, France. Volume 190 of LIPIcs, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. [doi]

@inproceedings{GianfrottaRBD21,
  title = {A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures},
  author = {Coline Gianfrotta and Vladimir Reinharz and Dominique Barth and Alain Denise},
  year = {2021},
  doi = {10.4230/LIPIcs.SEA.2021.19},
  url = {https://doi.org/10.4230/LIPIcs.SEA.2021.19},
  researchr = {https://researchr.org/publication/GianfrottaRBD21},
  cites = {0},
  citedby = {0},
  booktitle = {19th International Symposium on Experimental Algorithms, SEA 2021, June 7-9, 2021, Nice, France},
  editor = {David Coudert and Emanuele Natale},
  volume = {190},
  series = {LIPIcs},
  publisher = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  isbn = {978-3-95977-185-6},
}