108 related articles for article (PubMed ID: 19958083)
1. Folding 3-noncrossing RNA pseudoknot structures.
Huang FW; Peng WW; Reidys CM
J Comput Biol; 2009 Nov; 16(11):1549-75. PubMed ID: 19958083
[TBL] [Abstract][Full Text] [Related]
2. Sequence-structure relations of pseudoknot RNA.
Huang FW; Li LY; Reidys CM
BMC Bioinformatics; 2009 Jan; 10 Suppl 1(Suppl 1):S39. PubMed ID: 19208140
[TBL] [Abstract][Full Text] [Related]
3. Irreducibility in RNA structures.
Jin EY; Reidys CM
Bull Math Biol; 2010 Feb; 72(2):375-99. PubMed ID: 19890676
[TBL] [Abstract][Full Text] [Related]
4. Combinatorics of RNA structures with pseudoknots.
Jin EY; Qin J; Reidys CM
Bull Math Biol; 2008 Jan; 70(1):45-67. PubMed ID: 17896159
[TBL] [Abstract][Full Text] [Related]
5. Random K-noncrossing RNA structures.
Chen WY; Han HS; Reidys CM
Proc Natl Acad Sci U S A; 2009 Dec; 106(52):22061-6. PubMed ID: 20018731
[TBL] [Abstract][Full Text] [Related]
6. A dynamic programming algorithm for RNA structure prediction including pseudoknots.
Rivas E; Eddy SR
J Mol Biol; 1999 Feb; 285(5):2053-68. PubMed ID: 9925784
[TBL] [Abstract][Full Text] [Related]
7. Stacks in canonical RNA pseudoknot structures.
Han HS; Reidys CM
Math Biosci; 2009 May; 219(1):7-14. PubMed ID: 19402214
[TBL] [Abstract][Full Text] [Related]
8. Statistics of canonical RNA pseudoknot structures.
Huang FW; Reidys CM
J Theor Biol; 2008 Aug; 253(3):570-8. PubMed ID: 18511081
[TBL] [Abstract][Full Text] [Related]
9. A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences.
Ji Y; Xu X; Stormo GD
Bioinformatics; 2004 Jul; 20(10):1591-602. PubMed ID: 14962926
[TBL] [Abstract][Full Text] [Related]
10. Central and local limit theorems for RNA structures.
Jin EY; Reidys CM
J Theor Biol; 2008 Feb; 250(3):547-59. PubMed ID: 18045620
[TBL] [Abstract][Full Text] [Related]
11. Inverse folding of RNA pseudoknot structures.
Gao JZ; Li LY; Reidys CM
Algorithms Mol Biol; 2010 Jun; 5():27. PubMed ID: 20573197
[TBL] [Abstract][Full Text] [Related]
12. Combinatorial analysis of interacting RNA molecules.
Li TJ; Reidys CM
Math Biosci; 2011 Sep; 233(1):47-58. PubMed ID: 21689666
[TBL] [Abstract][Full Text] [Related]
13. Loops in canonical RNA pseudoknot structures.
Nebel ME; Reidys CM; Wang RR
J Comput Biol; 2011 Dec; 18(12):1793-806. PubMed ID: 21417777
[TBL] [Abstract][Full Text] [Related]
14. High sensitivity RNA pseudoknot prediction.
Huang X; Ali H
Nucleic Acids Res; 2007; 35(2):656-63. PubMed ID: 17179177
[TBL] [Abstract][Full Text] [Related]
15. Canonical RNA pseudoknot structures.
Ma G; Reidys CM
J Comput Biol; 2008 Dec; 15(10):1257-73. PubMed ID: 19040363
[TBL] [Abstract][Full Text] [Related]
16. Asymptotic enumeration of RNA structures with pseudoknots.
Jin EY; Reidys CM
Bull Math Biol; 2008 May; 70(4):951-70. PubMed ID: 18340497
[TBL] [Abstract][Full Text] [Related]
17. An efficient algorithm for planar drawing of RNA structures with pseudoknots of any type.
Byun Y; Han K
J Bioinform Comput Biol; 2016 Jun; 14(3):1650009. PubMed ID: 26932273
[TBL] [Abstract][Full Text] [Related]
18. Pair stochastic tree adjoining grammars for aligning and predicting pseudoknot RNA structures.
Matsui H; Sato K; Sakakibara Y
Bioinformatics; 2005 Jun; 21(11):2611-7. PubMed ID: 15784748
[TBL] [Abstract][Full Text] [Related]
19. Moments of the Boltzmann distribution for RNA secondary structures.
Miklós I; Meyer IM; Nagy B
Bull Math Biol; 2005 Sep; 67(5):1031-47. PubMed ID: 15998494
[TBL] [Abstract][Full Text] [Related]
20. RNA pseudoknot prediction in energy-based models.
Lyngsø RB; Pedersen CN
J Comput Biol; 2000; 7(3-4):409-27. PubMed ID: 11108471
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
