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Items: 1 to 20 of 47

1.

Predicting microRNA targeting efficacy in Drosophila.

Agarwal V, Subtelny AO, Thiru P, Ulitsky I, Bartel DP.

Genome Biol. 2018 Oct 4;19(1):152. doi: 10.1186/s13059-018-1504-3.

2.

mirDIP 4.1-integrative database of human microRNA target predictions.

Tokar T, Pastrello C, Rossos AEM, Abovsky M, Hauschild AC, Tsay M, Lu R, Jurisica I.

Nucleic Acids Res. 2018 Jan 4;46(D1):D360-D370. doi: 10.1093/nar/gkx1144.

3.

Identification of cell cycle-targeting microRNAs through genome-wide screens.

Hydbring P, Wang Y, Bogorad RL, Yin H, Anderson DG, Li C, Sicinski P.

Cell Cycle. 2017;16(23):2241-2248. doi: 10.1080/15384101.2017.1380132. Epub 2017 Nov 14.

4.

Circulating microRNAs and Bioinformatics Tools to Discover Novel Diagnostic Biomarkers of Pediatric Diseases.

Baldassarre A, Felli C, Prantera G, Masotti A.

Genes (Basel). 2017 Sep 19;8(9). pii: E234. doi: 10.3390/genes8090234. Review.

5.

Recent computational developments on CLIP-seq data analysis and microRNA targeting implications.

Bottini S, Pratella D, Grandjean V, Repetto E, Trabucchi M.

Brief Bioinform. 2018 Nov 27;19(6):1290-1301. doi: 10.1093/bib/bbx063.

6.

Genome-wide profiling and differential expression of microRNA in rat pluripotent stem cells.

Sherstyuk VV, Medvedev SP, Elisaphenko EA, Vaskova EA, Ri MT, Vyatkin YV, Saik OV, Shtokalo DN, Pokushalov EA, Zakian SM.

Sci Rep. 2017 Jun 5;7(1):2787. doi: 10.1038/s41598-017-02632-0.

7.

In silico target network analysis of de novo-discovered, tick saliva-specific microRNAs reveals important combinatorial effects in their interference with vertebrate host physiology.

Hackenberg M, Langenberger D, Schwarz A, Erhart J, Kotsyfakis M.

RNA. 2017 Aug;23(8):1259-1269. doi: 10.1261/rna.061168.117. Epub 2017 May 4.

8.

Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders.

Devanna P, Chen XS, Ho J, Gajewski D, Smith SD, Gialluisi A, Francks C, Fisher SE, Newbury DF, Vernes SC.

Mol Psychiatry. 2018 May;23(5):1375-1384. doi: 10.1038/mp.2017.30. Epub 2017 Mar 14.

10.

Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans.

Holdt LM, Stahringer A, Sass K, Pichler G, Kulak NA, Wilfert W, Kohlmaier A, Herbst A, Northoff BH, Nicolaou A, Gäbel G, Beutner F, Scholz M, Thiery J, Musunuru K, Krohn K, Mann M, Teupser D.

Nat Commun. 2016 Aug 19;7:12429. doi: 10.1038/ncomms12429.

11.

miRNA-dependent target regulation: functional characterization of single-nucleotide polymorphisms identified in genome-wide association studies of Alzheimer's disease.

Delay C, Grenier-Boley B, Amouyel P, Dumont J, Lambert JC.

Alzheimers Res Ther. 2016 May 24;8(1):20. doi: 10.1186/s13195-016-0186-x.

12.

Tiny giants of gene regulation: experimental strategies for microRNA functional studies.

Steinkraus BR, Toegel M, Fulga TA.

Wiley Interdiscip Rev Dev Biol. 2016 May-Jun;5(3):311-62. doi: 10.1002/wdev.223. Epub 2016 Mar 7. Review.

13.

SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.

Zhou Y, Zeng P, Li YH, Zhang Z, Cui Q.

Nucleic Acids Res. 2016 Jun 2;44(10):e91. doi: 10.1093/nar/gkw104. Epub 2016 Feb 20.

14.

Predicting effective microRNA target sites in mammalian mRNAs.

Agarwal V, Bell GW, Nam JW, Bartel DP.

Elife. 2015 Aug 12;4. doi: 10.7554/eLife.05005.

15.

MicroRNA Expression Profile in Penile Cancer Revealed by Next-Generation Small RNA Sequencing.

Zhang L, Wei P, Shen X, Zhang Y, Xu B, Zhou J, Fan S, Hao Z, Shi H, Zhang X, Kong R, Xu L, Gao J, Zou D, Liang C.

PLoS One. 2015 Jul 9;10(7):e0131336. doi: 10.1371/journal.pone.0131336. eCollection 2015.

16.

sRNAtoolbox: an integrated collection of small RNA research tools.

Rueda A, Barturen G, Lebrón R, Gómez-Martín C, Alganza Á, Oliver JL, Hackenberg M.

Nucleic Acids Res. 2015 Jul 1;43(W1):W467-73. doi: 10.1093/nar/gkv555. Epub 2015 May 27.

17.

Interferon-alpha competing endogenous RNA network antagonizes microRNA-1270.

Kimura T, Jiang S, Yoshida N, Sakamoto R, Nishizawa M.

Cell Mol Life Sci. 2015 Jul;72(14):2749-61. doi: 10.1007/s00018-015-1875-5. Epub 2015 Mar 7.

18.

MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets.

Bandyopadhyay S, Ghosh D, Mitra R, Zhao Z.

Sci Rep. 2015 Jan 23;5:8004. doi: 10.1038/srep08004.

19.

Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks.

Chiu HS, Llobet-Navas D, Yang X, Chung WJ, Ambesi-Impiombato A, Iyer A, Kim HR, Seviour EG, Luo Z, Sehgal V, Moss T, Lu Y, Ram P, Silva J, Mills GB, Califano A, Sumazin P.

Genome Res. 2015 Feb;25(2):257-67. doi: 10.1101/gr.178194.114. Epub 2014 Nov 5.

20.

ptRNApred: computational identification and classification of post-transcriptional RNA.

Gupta Y, Witte M, Möller S, Ludwig RJ, Restle T, Zillikens D, Ibrahim SM.

Nucleic Acids Res. 2014 Dec 16;42(22):e167. doi: 10.1093/nar/gku918. Epub 2014 Oct 10.

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