EvryRNA : EvryRNA

EvryRNA's tools

  • A. Legendre, E. Angel, and F. Tahi.RCPred : RNA complex prediction as a constrained maximum weight clique problem.BMC Bioinformatics 2018. doi:10.1186/s12859-019-2648-1
  • L. Platon, F. Zehraoui, A. Bendahmane, and F. Tahi.IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection.Bioinformatics 2018; 34(17):i620-i628. doi:10.1093/bioinformatics/bty572
  • A. Legendre, E. Angel, and F. Tahi.Bi-objective integer programming for RNA secondary structure prediction with pseudoknots.BMC Bioinformatics 2018; 19(1), 13. doi:10.1186/s12859-018-2007-7
  • A. Boucheham, V. Sommard, F. Zehraoui, A. Boualem, M. Batouche, A. Bendahmane, D. Israeli and F. Tahi.IpiRId: Integrative approach for piRNA prediction using genomic and epigenomic data.PloS one 2017; 12(6), e0179787. doi:10.1371/journal.pone.0179787
  • J. Brayet, F. Zehraoui, L. Jeanson-Leh, D. Israeli, and F. Tahi. Towards a piRNA prediction using multiple kernel fusion and support vector machine. Bioinformatics 30(17):i364-70. 2014. doi:10.1093/bioinformatics/btu441
  • V.D. Tran, S. Tempel, B. Zerath, F. Zehraoui, and F. Tahi. miRBoost: Boosting support vector machines for microRNA precursor classification. RNA 21:25. 2015. doi:10.1261/rna.043612.113
  • V.D. Tran, B. Zerath, S. Tempel, F. Zehraoui, and F. Tahi. BoostSVM: A miRNA classifier with high accuracy using boosting SVM. JOBIM pp. 259-266. 2012.
  • S. Tempel, N. Pollet, and F. Tahi. ncRNAclassifier: a tool for detection and classification of transposable element sequences in RNA hairpins. BMC Bioinformatics 13:246, 2012. doi:10.1186/1471-2105-13-246
  • C. Tav, S. Tempel, L. Poligny and F. Tahi. miRNAFold: a web server for fast miRNA precursor prediction in genomes. Nucleic Acids Res 44(W1): W181-W184. 2016. doi:10.1093/nar/gkw459
  • S. Tempel and F. Tahi. A fast ab-initio method for predicting miRNA precursors in genomes. Nucleic Acids Res 40(11):e80. 2012. doi:10.1093/nar/gks146
  • S. Engelen and F. Tahi. Tfold: efficient in silico prediction of non-coding RNA secondary structures. Nucleic Acids Res 38(7):2453-66. 2010. doi:10.1093/nar/gkp1067
  • S. Engelen and F. Tahi. Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences. BMC Bioinformatics 8:464. 2007. doi:10.1186/1471-2105-8-464
  • S. Engelen and F. Tahi. An Open Problem in RNA Secondary Structure Prediction by the Comparative Approach. International MultiConference in Computer Science and Computer Engineering (METMBS'04), Las Vegas, USA. 2004.
  • F. Tahi, S. Engelen, and M. Régnier. P-DCFold or How to Predict all Kinds of Pseudoknots in Rna Secondary Structures. International Journal on Artificial Intelligence Tools 14(5):703-716. 2005. doi:10.1142/S021821300500234X
  • F. Tahi, S. Engelen, and M. Régnier. A fast algorithm for RNA secondary structure prediction including pseudoknots. Third IEEE Symposium on BioInformatics and BioEngineering (BIBE'03) pp. 11. 2003. doi:10.1109/BIBE.2003.1188924
  • F. Tahi, M. Gouy, and M. Régnier. Automatic RNA Secondary Structure Prediction with a Comparative Approach. Computers and Chemistry 26:521-530. 2002. doi:10.1016/S0097-8485(02)00012-8

Protected work, the holder of exclusive rights is the University of Evry Val d'Essonne.

For questions about rights and access usage, contact Ms Tahi: fariza.tahi@ibisc.univ-evry.fr