Author

Roman Sarrazin‐Gendron

McGill UniversityORCID 0000-0002-0291-547XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jérôme WaldispühliD· 3 shared Vladimir ReinharziD· 3 shared Carlos OliveriD· 2 shared Alain DeniseiD· 1 shared Antoine SouléiD· 1 shared Hua-Ting YaoiD· 1 shared Nicolas MoitessieriD· 1 shared Vincent MalletiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Jérôme WaldispühlORCID

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3 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedMay 28, 2021

Finding recurrent RNA structural networks with fast maximal common subgraphs of edge-colored graphs

Antoine Soulé, Vladimir Reinharz, Roman Sarrazin‐Gendron…·Jérôme Waldispühl

The paper introduces an algorithm to find recurrent RNA structural modules spanning multiple secondary structure elements, identifying a module common to bacterial ribosomes.

13 citations

E. colistatistical model

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedJul 8, 2020

Augmented base pairing networks encode RNA-small molecule binding preferences.

Carlos Oliver, Vincent Mallet, Roman Sarrazin‐Gendron…·Jérôme Waldispühl

RNAmigos predicts small molecule ligands for RNA binding sites using augmented base pairing networks, showing improved performance over baselines and highlighting the importance of non-canonical base pairs.

61 citations

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

BioinformaticsLecture notes in computer sciencePeer-reviewedJan 1, 2020

Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification

Roman Sarrazin‐Gendron, Hua-Ting Yao, Vladimir Reinharz…·Jérôme Waldispühl

The paper introduces BayesPairing 2, a sequence search algorithm for RNA 3D module identification, showing improved speed and accuracy over its predecessor.

8 citations

statistical modelgene regulatory network inference

𝕏 PostBluesky