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Items: 1 to 20 of 26

1.

Development of species specific putative miRNA and its target prediction tool in wheat (Triticum aestivum L.).

Jaiswal S, Iquebal MA, Arora V, Sheoran S, Sharma P, Angadi UB, Dahiya V, Singh R, Tiwari R, Singh GP, Rai A, Kumar D.

Sci Rep. 2019 Mar 7;9(1):3790. doi: 10.1038/s41598-019-40333-y.

2.

Well-characterized sequence features of eukaryote genomes and implications for ab initio gene prediction.

Huang Y, Chen SY, Deng F.

Comput Struct Biotechnol J. 2016 Jul 27;14:298-303. doi: 10.1016/j.csbj.2016.07.002. eCollection 2016. Review.

3.

Identification and Characterization of Microsatellite Loci in Maqui (Aristotelia chilensis [Molina] Stunz) Using Next-Generation Sequencing (NGS).

Bastías A, Correa F, Rojas P, Almada R, Muñoz C, Sagredo B.

PLoS One. 2016 Jul 26;11(7):e0159825. doi: 10.1371/journal.pone.0159825. eCollection 2016.

4.

ZIKV - CDB: A Collaborative Database to Guide Research Linking SncRNAs and ZIKA Virus Disease Symptoms.

Pylro VS, Oliveira FS, Morais DK, Cuadros-Orellana S, Pais FS, Medeiros JD, Geraldo JA, Gilbert J, Volpini AC, Fernandes GR.

PLoS Negl Trop Dis. 2016 Jun 22;10(6):e0004817. doi: 10.1371/journal.pntd.0004817. eCollection 2016 Jun.

5.

Computational Detection of piRNA in Human Using Support Vector Machine.

Seyeddokht A, Aslaminejad AA, Masoudi-Nejad A, Nassiri M, Zahiri J, Sadeghi B.

Avicenna J Med Biotechnol. 2016 Jan-Mar;8(1):36-41.

6.

Role of bioinformatics in establishing microRNAs as modulators of abiotic stress responses: the new revolution.

Tripathi A, Goswami K, Sanan-Mishra N.

Front Physiol. 2015 Oct 26;6:286. doi: 10.3389/fphys.2015.00286. eCollection 2015. Review.

7.

Bioinformatic tools for microRNA dissection.

Akhtar MM, Micolucci L, Islam MS, Olivieri F, Procopio AD.

Nucleic Acids Res. 2016 Jan 8;44(1):24-44. doi: 10.1093/nar/gkv1221. Epub 2015 Nov 17. Review.

8.

Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.

Cava C, Bertoli G, Castiglioni I.

BMC Syst Biol. 2015 Sep 21;9:62. doi: 10.1186/s12918-015-0211-x. Review.

9.

MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer.

Bertoli G, Cava C, Castiglioni I.

Theranostics. 2015 Jul 13;5(10):1122-43. doi: 10.7150/thno.11543. eCollection 2015. Review.

10.

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.

11.

Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma.

Severino P, Oliveira LS, Andreghetto FM, Torres N, Curioni O, Cury PM, Toporcov TN, Paschoal AR, Durham AM.

BMC Med Genomics. 2015 Jun 24;8:31. doi: 10.1186/s12920-015-0102-4.

12.

An integrative approach to identify hexaploid wheat miRNAome associated with development and tolerance to abiotic stress.

Agharbaoui Z, Leclercq M, Remita MA, Badawi MA, Lord E, Houde M, Danyluk J, Diallo AB, Sarhan F.

BMC Genomics. 2015 Apr 24;16:339. doi: 10.1186/s12864-015-1490-8.

13.

Non-coding RNA gene families in the genomes of anopheline mosquitoes.

Dritsou V, Deligianni E, Dialynas E, Allen J, Poulakakis N, Louis C, Lawson D, Topalis P.

BMC Genomics. 2014 Nov 28;15:1038. doi: 10.1186/1471-2164-15-1038.

14.

Next-generation survey sequencing and the molecular organization of wheat chromosome 6B.

Tanaka T, Kobayashi F, Joshi GP, Onuki R, Sakai H, Kanamori H, Wu J, Simkova H, Nasuda S, Endo TR, Hayakawa K, Doležel J, Ogihara Y, Itoh T, Matsumoto T, Handa H.

DNA Res. 2014;21(2):103-14. doi: 10.1093/dnares/dst041. Epub 2013 Oct 1.

15.

Computational prediction of the localization of microRNAs within their pre-miRNA.

Leclercq M, Diallo AB, Blanchette M.

Nucleic Acids Res. 2013 Aug;41(15):7200-11. doi: 10.1093/nar/gkt466. Epub 2013 Jun 8.

16.

A Review of Computational Tools in microRNA Discovery.

Gomes CP, Cho JH, Hood L, Franco OL, Pereira RW, Wang K.

Front Genet. 2013 May 15;4:81. doi: 10.3389/fgene.2013.00081. eCollection 2013.

17.

HuntMi: an efficient and taxon-specific approach in pre-miRNA identification.

Gudyś A, Szcześniak MW, Sikora M, Makałowska I.

BMC Bioinformatics. 2013 Mar 5;14:83. doi: 10.1186/1471-2105-14-83.

18.

The prediction of the porcine pre-microRNAs in genome-wide based on support vector machine (SVM) and homology searching.

Wang Z, He K, Wang Q, Yang Y, Pan Y.

BMC Genomics. 2012 Dec 27;13:729. doi: 10.1186/1471-2164-13-729.

19.

MicroRNA prediction using a fixed-order Markov model based on the secondary structure pattern.

Shen W, Chen M, Wei G, Li Y.

PLoS One. 2012;7(10):e48236. doi: 10.1371/journal.pone.0048236. Epub 2012 Oct 30.

20.

Genome-wide microRNA expression analysis of clear cell renal cell carcinoma by next generation deep sequencing.

Osanto S, Qin Y, Buermans HP, Berkers J, Lerut E, Goeman JJ, van Poppel H.

PLoS One. 2012;7(6):e38298. doi: 10.1371/journal.pone.0038298. Epub 2012 Jun 20.

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