These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 35641016)

  • 1. ShapeSorter: a fully probabilistic method for detecting conserved RNA structure features supported by SHAPE evidence.
    Tsybulskyi V; Meyer IM
    Nucleic Acids Res; 2022 Aug; 50(15):e85. PubMed ID: 35641016
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction.
    von Löhneysen S; Spicher T; Varenyk Y; Yao HT; Lorenz R; Hofacker I; Stadler PF
    J Comput Biol; 2024 Jun; 31(6):549-563. PubMed ID: 38935442
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TRANSAT-- method for detecting the conserved helices of functional RNA structures, including transient, pseudo-knotted and alternative structures.
    Wiebe NJ; Meyer IM
    PLoS Comput Biol; 2010 Jun; 6(6):e1000823. PubMed ID: 20589081
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TurboFold: iterative probabilistic estimation of secondary structures for multiple RNA sequences.
    Harmanci AO; Sharma G; Mathews DH
    BMC Bioinformatics; 2011 Apr; 12():108. PubMed ID: 21507242
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computational analysis of conserved RNA secondary structure in transcriptomes and genomes.
    Eddy SR
    Annu Rev Biophys; 2014; 43():433-56. PubMed ID: 24895857
    [TBL] [Abstract][Full Text] [Related]  

  • 6. RnaPredict--an evolutionary algorithm for RNA secondary structure prediction.
    Wiese K; Deschenes A; Hendriks A
    IEEE/ACM Trans Comput Biol Bioinform; 2008; 5(1):25-41. PubMed ID: 18245873
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data.
    Wu Y; Shi B; Ding X; Liu T; Hu X; Yip KY; Yang ZR; Mathews DH; Lu ZJ
    Nucleic Acids Res; 2015 Sep; 43(15):7247-59. PubMed ID: 26170232
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient algorithms for probing the RNA mutation landscape.
    Waldispühl J; Devadas S; Berger B; Clote P
    PLoS Comput Biol; 2008 Aug; 4(8):e1000124. PubMed ID: 18688270
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evolutionary Algorithm for RNA Secondary Structure Prediction Based on Simulated SHAPE Data.
    Montaseri S; Ganjtabesh M; Zare-Mirakabad F
    PLoS One; 2016; 11(11):e0166965. PubMed ID: 27893832
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Thermodynamic heuristics with case-based reasoning: combined insights for RNA pseudoknot secondary structure.
    Al-Khatib RM; Rashid NA; Abdullah R
    J Biomol Struct Dyn; 2011 Aug; 29(1):1-26. PubMed ID: 21696223
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Crumple: a method for complete enumeration of all possible pseudoknot-free RNA secondary structures.
    Bleckley S; Stone JW; Schroeder SJ
    PLoS One; 2012; 7(12):e52414. PubMed ID: 23300665
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of a sophisticated SCFG design for RNA secondary structure prediction.
    Nebel ME; Scheid A
    Theory Biosci; 2011 Dec; 130(4):313-36. PubMed ID: 22135038
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Swellix: a computational tool to explore RNA conformational space.
    Sloat N; Liu JW; Schroeder SJ
    BMC Bioinformatics; 2017 Nov; 18(1):504. PubMed ID: 29157200
    [TBL] [Abstract][Full Text] [Related]  

  • 14. RNA structure prediction using positive and negative evolutionary information.
    Rivas E
    PLoS Comput Biol; 2020 Oct; 16(10):e1008387. PubMed ID: 33125376
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrating chemical footprinting data into RNA secondary structure prediction.
    Zarringhalam K; Meyer MM; Dotu I; Chuang JH; Clote P
    PLoS One; 2012; 7(10):e45160. PubMed ID: 23091593
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of energy-based algorithms for RNA secondary structure prediction.
    Hajiaghayi M; Condon A; Hoos HH
    BMC Bioinformatics; 2012 Feb; 13():22. PubMed ID: 22296803
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of consensus RNA secondary structures including pseudoknots.
    Witwer C; Hofacker IL; Stadler PF
    IEEE/ACM Trans Comput Biol Bioinform; 2004; 1(2):66-77. PubMed ID: 17048382
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Revolutions in RNA secondary structure prediction.
    Mathews DH
    J Mol Biol; 2006 Jun; 359(3):526-32. PubMed ID: 16500677
    [TBL] [Abstract][Full Text] [Related]  

  • 19. e-RNA: a collection of web-servers for the prediction and visualisation of RNA secondary structure and their functional features.
    Tsybulskyi V; Semenchenko E; Meyer IM
    Nucleic Acids Res; 2023 Jul; 51(W1):W160-W167. PubMed ID: 37099369
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A statistical analysis of RNA folding algorithms through thermodynamic parameter perturbation.
    Layton DM; Bundschuh R
    Nucleic Acids Res; 2005; 33(2):519-24. PubMed ID: 15673712
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.