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Items: 1 to 20 of 102

1.

Combination of measures distinguishes pre-miRNAs from other stem-loops in the genome of the newly sequenced Anopheles darlingi.

Mendes ND, Freitas AT, Vasconcelos AT, Sagot MF.

BMC Genomics. 2010 Sep 29;11:529. doi: 10.1186/1471-2164-11-529.

2.

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.

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miROrtho: computational survey of microRNA genes.

Gerlach D, Kriventseva EV, Rahman N, Vejnar CE, Zdobnov EM.

Nucleic Acids Res. 2009 Jan;37(Database issue):D111-7. doi: 10.1093/nar/gkn707.

6.

Identification of novel Drosophila melanogaster microRNAs.

Sandmann T, Cohen SM.

PLoS One. 2007 Nov 28;2(11):e1265.

7.

Computational identification of Drosophila microRNA genes.

Lai EC, Tomancak P, Williams RW, Rubin GM.

Genome Biol. 2003;4(7):R42.

8.

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.

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Ab initio identification of human microRNAs based on structure motifs.

Brameier M, Wiuf C.

BMC Bioinformatics. 2007 Dec 18;8:478.

11.

MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features.

Ding J, Zhou S, Guan J.

BMC Bioinformatics. 2010 Dec 14;11 Suppl 11:S11. doi: 10.1186/1471-2105-11-S11-S11.

12.

Identification and expression analysis of microRNAs and targets in the biofuel crop sugarcane.

Zanca AS, Vicentini R, Ortiz-Morea FA, Del Bem LE, da Silva MJ, Vincentz M, Nogueira FT.

BMC Plant Biol. 2010 Nov 24;10:260. doi: 10.1186/1471-2229-10-260.

13.

Human microRNA prediction through a probabilistic co-learning model of sequence and structure.

Nam JW, Shin KR, Han J, Lee Y, Kim VN, Zhang BT.

Nucleic Acids Res. 2005 Jun 24;33(11):3570-81.

14.

Correlation between sequence conservation and structural thermodynamics of microRNA precursors from human, mouse, and chicken genomes.

Ni M, Shu W, Bo X, Wang S, Li S.

BMC Evol Biol. 2010 Oct 27;10:329. doi: 10.1186/1471-2148-10-329.

15.

Genetic algorithm-based efficient feature selection for classification of pre-miRNAs.

Xuan P, Guo MZ, Wang J, Wang CY, Liu XY, Liu Y.

Genet Mol Res. 2011 Apr 12;10(2):588-603. doi: 10.4238/vol10-2gmr969.

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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.

PMID:
23566387
18.

Computational identification of novel microRNA homologs in the chimpanzee genome.

Baev V, Daskalova E, Minkov I.

Comput Biol Chem. 2009 Feb;33(1):62-70. doi: 10.1016/j.compbiolchem.2008.07.024.

PMID:
18760970
19.

Assessing the Drosophila melanogaster and Anopheles gambiae genome annotations using genome-wide sequence comparisons.

Jaillon O, Dossat C, Eckenberg R, Eiglmeier K, Segurens B, Aury JM, Roth CW, Scarpelli C, Brey PT, Weissenbach J, Wincker P.

Genome Res. 2003 Jul;13(7):1595-9.

20.

Identifications of conserved 7-mers in 3'-UTRs and microRNAs in Drosophila.

Gu J, Fu H, Zhang X, Li Y.

BMC Bioinformatics. 2007 Nov 8;8:432.

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