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Items: 8


Discovering sequence and structure landscapes in RNA interaction motifs.

Adinolfi M, Pietrosanto M, Parca L, Ausiello G, Ferrè F, Helmer-Citterich M.

Nucleic Acids Res. 2019 Jun 4;47(10):4958-4969. doi: 10.1093/nar/gkz250.


MicroRNAs mediate liver transcriptome changes upon soy diet intervention in mice.

Seclaman E, Balacescu L, Balacescu O, Bejinar C, Udrescu M, Marian C, Sirbu IO, Anghel A.

J Cell Mol Med. 2019 Mar;23(3):2263-2267. doi: 10.1111/jcmm.14140. Epub 2019 Jan 8.


miRWalk: An online resource for prediction of microRNA binding sites.

Sticht C, De La Torre C, Parveen A, Gretz N.

PLoS One. 2018 Oct 18;13(10):e0206239. doi: 10.1371/journal.pone.0206239. eCollection 2018.


Xeno-miRNet: a comprehensive database and analytics platform to explore xeno-miRNAs and their potential targets.

Fan Y, Habib M, Xia J.

PeerJ. 2018 Sep 28;6:e5650. doi: 10.7717/peerj.5650. eCollection 2018.


The p53-signaling pathway and colorectal cancer: Interactions between downstream p53 target genes and miRNAs.

Slattery ML, Mullany LE, Wolff RK, Sakoda LC, Samowitz WS, Herrick JS.

Genomics. 2019 Jul;111(4):762-771. doi: 10.1016/j.ygeno.2018.05.006. Epub 2018 Jun 1.


A computational biology approach of a genome-wide screen connected miRNAs to obesity and type 2 diabetes.

Gottmann P, Ouni M, Saussenthaler S, Roos J, Stirm L, Jähnert M, Kamitz A, Hallahan N, Jonas W, Fritsche A, Häring HU, Staiger H, Blüher M, Fischer-Posovszky P, Vogel H, Schürmann A.

Mol Metab. 2018 May;11:145-159. doi: 10.1016/j.molmet.2018.03.005. Epub 2018 Mar 15.


circlncRNAnet: an integrated web-based resource for mapping functional networks of long or circular forms of noncoding RNAs.

Wu SM, Liu H, Huang PJ, Chang IY, Lee CC, Yang CY, Tsai WS, Tan BC.

Gigascience. 2018 Jan 1;7(1):1-10. doi: 10.1093/gigascience/gix118.


CCmiR: A computational approach for competitive and cooperative microRNA binding prediction.

Ding J, Li X, Hu H.

Bioinformatics. 2017 Sep 25. doi: 10.1093/bioinformatics/btx606. [Epub ahead of print]

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