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Items: 1 to 20 of 103

1.

Integrated sequence-structure motifs suffice to identify microRNA precursors.

Liu X, He S, Skogerbø G, Gong F, Chen R.

PLoS One. 2012;7(3):e32797. doi: 10.1371/journal.pone.0032797. Epub 2012 Mar 15.

2.

MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans.

Huang TH, Fan B, Rothschild MF, Hu ZL, Li K, Zhao SH.

BMC Bioinformatics. 2007 Sep 17;8:341.

3.
4.

New syntax to describe local continuous structure-sequence information for recognizing new pre-miRNAs.

Wang M, Song X, Han P, Li W, Jiang B.

J Theor Biol. 2010 May 21;264(2):578-84. doi: 10.1016/j.jtbi.2010.02.037. Epub 2010 Mar 2.

PMID:
20202471
5.

Ab initio identification of human microRNAs based on structure motifs.

Brameier M, Wiuf C.

BMC Bioinformatics. 2007 Dec 18;8:478.

6.

PMirP: a pre-microRNA prediction method based on structure-sequence hybrid features.

Zhao D, Wang Y, Luo D, Shi X, Wang L, Xu D, Yu J, Liang Y.

Artif Intell Med. 2010 Jun;49(2):127-32. doi: 10.1016/j.artmed.2010.03.004. Epub 2010 Apr 15.

PMID:
20399081
7.

Benchmark comparison of ab initio microRNA identification methods and software.

Hu LL, Huang Y, Wang QC, Zou Q, Jiang Y.

Genet Mol Res. 2012 Dec 19;11(4):4525-38. doi: 10.4238/2012.October.17.4.

8.

Prediction of conserved precursors of miRNAs and their mature forms by integrating position-specific structural features.

Terai G, Okida H, Asai K, Mituyama T.

PLoS One. 2012;7(9):e44314. doi: 10.1371/journal.pone.0044314. Epub 2012 Sep 5.

9.

Navigating the unexplored seascape of pre-miRNA candidates in single-genome approaches.

Mendes ND, Heyne S, Freitas AT, Sagot MF, Backofen R.

Bioinformatics. 2012 Dec 1;28(23):3034-41. doi: 10.1093/bioinformatics/bts574. Epub 2012 Oct 10.

10.

Prediction of pre-miRNA with multiple stem-loops using pruning algorithm.

Song X, Wang M, Chen YP, Wang H, Han P, Sun H.

Comput Biol Med. 2013 Jun;43(5):409-16. doi: 10.1016/j.compbiomed.2013.02.003. Epub 2013 Mar 15.

PMID:
23566387
11.

Identification of microRNA processing determinants by random mutagenesis of Arabidopsis MIR172a precursor.

Mateos JL, Bologna NG, Chorostecki U, Palatnik JF.

Curr Biol. 2010 Jan 12;20(1):49-54. doi: 10.1016/j.cub.2009.10.072. Epub 2009 Dec 10.

12.

Predicting human microRNA precursors based on an optimized feature subset generated by GA-SVM.

Wang Y, Chen X, Jiang W, Li L, Li W, Yang L, Liao M, Lian B, Lv Y, Wang S, Wang S, Li X.

Genomics. 2011 Aug;98(2):73-8. doi: 10.1016/j.ygeno.2011.04.011. Epub 2011 May 14.

13.

De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures.

Ng KL, Mishra SK.

Bioinformatics. 2007 Jun 1;23(11):1321-30. Epub 2007 Jan 31.

PMID:
17267435
14.

Structural basis of microRNA length variety.

Starega-Roslan J, Krol J, Koscianska E, Kozlowski P, Szlachcic WJ, Sobczak K, Krzyzosiak WJ.

Nucleic Acids Res. 2011 Jan;39(1):257-68. doi: 10.1093/nar/gkq727. Epub 2010 Aug 25.

15.

Identification of microRNA precursors based on random forest with network-level representation method of stem-loop structure.

Xiao J, Tang X, Li Y, Fang Z, Ma D, He Y, Li M.

BMC Bioinformatics. 2011 May 17;12:165. doi: 10.1186/1471-2105-12-165.

16.

Analyzing modular RNA structure reveals low global structural entropy in microRNA sequence.

Shaw TI, Manzour A, Wang Y, Malmberg RL, Cai L.

J Bioinform Comput Biol. 2011 Apr;9(2):283-98.

PMID:
21523933
17.

microPred: effective classification of pre-miRNAs for human miRNA gene prediction.

Batuwita R, Palade V.

Bioinformatics. 2009 Apr 15;25(8):989-95. doi: 10.1093/bioinformatics/btp107. Epub 2009 Feb 20.

PMID:
19233894
18.

MicroRNA-encoding long non-coding RNAs.

He S, Su H, Liu C, Skogerbø G, He H, He D, Zhu X, Liu T, Zhao Y, Chen R.

BMC Genomics. 2008 May 21;9:236. doi: 10.1186/1471-2164-9-236.

19.

MicroRNA identification based on sequence and structure alignment.

Wang X, Zhang J, Li F, Gu J, He T, Zhang X, Li Y.

Bioinformatics. 2005 Sep 15;21(18):3610-4. Epub 2005 Jun 30.

PMID:
15994192
20.

MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors.

Gkirtzou K, Tsamardinos I, Tsakalides P, Poirazi P.

PLoS One. 2010 Aug 6;5(8):e11843. doi: 10.1371/journal.pone.0011843.

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