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Items: 7


African swine fever virus does not express viral microRNAs in experimentally infected pigs.

Núñez-Hernández F, Vera G, Sánchez A, Rodríguez F, Núñez JI.

BMC Vet Res. 2018 Sep 3;14(1):268. doi: 10.1186/s12917-018-1601-2.


Distinguishing mirtrons from canonical miRNAs with data exploration and machine learning methods.

Rorbach G, Unold O, Konopka BM.

Sci Rep. 2018 May 15;8(1):7560. doi: 10.1038/s41598-018-25578-3.


On the performance of pre-microRNA detection algorithms.

Saçar Demirci MD, Baumbach J, Allmer J.

Nat Commun. 2017 Aug 24;8(1):330. doi: 10.1038/s41467-017-00403-z.


Delineating the impact of machine learning elements in pre-microRNA detection.

Saçar Demirci MD, Allmer J.

PeerJ. 2017 Mar 29;5:e3131. doi: 10.7717/peerj.3131. eCollection 2017.


A legion of potential regulatory sRNAs exists beyond the typical microRNAs microcosm.

Jha A, Panzade G, Pandey R, Shankar R.

Nucleic Acids Res. 2015 Oct 15;43(18):8713-24. doi: 10.1093/nar/gkv871. Epub 2015 Sep 9.


A framework for improving microRNA prediction in non-human genomes.

Peace RJ, Biggar KK, Storey KB, Green JR.

Nucleic Acids Res. 2015 Nov 16;43(20):e138. doi: 10.1093/nar/gkv698. Epub 2015 Jul 10.


miRdentify: high stringency miRNA predictor identifies several novel animal miRNAs.

Hansen TB, Venø MT, Kjems J, Damgaard CK.

Nucleic Acids Res. 2014;42(16):e124. doi: 10.1093/nar/gku598. Epub 2014 Jul 22.

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