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Items: 6


miRNA analysis with Prost! reveals evolutionary conservation of organ-enriched expression and post-transcriptional modifications in three-spined stickleback and zebrafish.

Desvignes T, Batzel P, Sydes J, Eames BF, Postlethwait JH.

Sci Rep. 2019 Mar 8;9(1):3913. doi: 10.1038/s41598-019-40361-8.


Analysis of -5p and -3p Strands of miR-145 and miR-140 During Mesenchymal Stem Cell Chondrogenic Differentiation.

Kenyon JD, Sergeeva O, Somoza RA, Li M, Caplan AI, Khalil AM, Lee Z.

Tissue Eng Part A. 2019 Jan;25(1-2):80-90. doi: 10.1089/ten.TEA.2017.0440. Epub 2018 May 24.


A Review on Recent Computational Methods for Predicting Noncoding RNAs.

Zhang Y, Huang H, Zhang D, Qiu J, Yang J, Wang K, Zhu L, Fan J, Yang J.

Biomed Res Int. 2017;2017:9139504. doi: 10.1155/2017/9139504. Epub 2017 May 3. Review.


Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction.

Marques YB, de Paiva Oliveira A, Ribeiro Vasconcelos AT, Cerqueira FR.

BMC Bioinformatics. 2016 Dec 15;17(Suppl 18):474. doi: 10.1186/s12859-016-1343-8. Erratum in: BMC Bioinformatics. 2017 Feb 17;18(1):113.


Novel equine tissue miRNAs and breed-related miRNA expressed in serum.

Pacholewska A, Mach N, Mata X, Vaiman A, Schibler L, Barrey E, Gerber V.

BMC Genomics. 2016 Oct 26;17(1):831.


Computational Prediction of miRNA Genes from Small RNA Sequencing Data.

Kang W, Friedländer MR.

Front Bioeng Biotechnol. 2015 Jan 26;3:7. doi: 10.3389/fbioe.2015.00007. eCollection 2015. Review.

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