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Journal of Molecular Biology|May 19, 2026
DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentationLoïc Omnes, Eric Angel, Fariza TahiPlos One|April 25, 2025
A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identificationLoïc Omnes, Eric Angel, Pierre Bartet, et al.BMC Bioinformatics|January 17, 2018
Bi-objective integer programming for RNA secondary structure prediction with pseudoknotsAudrey Legendre, Eric Angel, Fariza TahiBioinformatics (Oxford, England)|January 9, 2020
BiORSEO: a bi-objective method to predict RNA secondary structures with pseudoknots using RNA 3D modulesLouis Becquey, Eric Angel, Fariza TahiBioinformatics (Oxford, England)|November 2, 2020
RNANet: an automatically built dual-source dataset integrating homologous sequences and RNA structuresLouis Becquey, Eric Angel, Fariza TahiBMC Bioinformatics|March 31, 2019
RCPred: RNA complex prediction as a constrained maximum weight clique problemAudrey Legendre, Eric Angel, Fariza TahiComputational and Structural Biotechnology Journal|January 16, 2026
Semi-supervised segmentation of RNA 3D structures using density-based clusteringQuoc Khang Le, Eric Angel, Fariza Tahi, et al.Briefings in Bioinformatics|June 20, 2023
C-RCPred: a multi-objective algorithm for interactive secondary structure prediction of RNA complexes integrating user knowledge and SHAPE dataMandy Ibéné, Audrey Legendre, Guillaume Postic, et al.BMC Bioinformatics|November 30, 2007
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequencesStéfan Engelen, Fariza TahiNucleic Acids Research|January 6, 2010
Tfold: efficient in silico prediction of non-coding RNA secondary structuresStéfan Engelen, Fariza TahiPageof 4