309 related articles for article (PubMed ID: 29508293)
21. Identification and Characterization of miRNAs in Chondrus crispus by High-Throughput Sequencing and Bioinformatics Analysis.
Gao F; Nan F; Song W; Feng J; Lv J; Xie S
Sci Rep; 2016 May; 6():26397. PubMed ID: 27193824
[TBL] [Abstract][Full Text] [Related]
22. Computational Prediction of Functional MicroRNA-mRNA Interactions.
Saçar Demirci MD; Yousef M; Allmer J
Methods Mol Biol; 2019; 1912():175-196. PubMed ID: 30635894
[TBL] [Abstract][Full Text] [Related]
23. Next-generation sequencing of miRNAs with Roche 454 GS-FLX technology: steps for a successful application.
Soares AR; Pereira PM; Santos MA
Methods Mol Biol; 2012; 822():189-204. PubMed ID: 22144200
[TBL] [Abstract][Full Text] [Related]
24. In Silico Analysis of Micro-RNA Sequencing Data.
Aparicio-Puerta E; Fromm B; Hackenberg M; Halushka MK
Methods Mol Biol; 2021; 2284():231-251. PubMed ID: 33835446
[TBL] [Abstract][Full Text] [Related]
25. mirPRo-a novel standalone program for differential expression and variation analysis of miRNAs.
Shi J; Dong M; Li L; Liu L; Luz-Madrigal A; Tsonis PA; Del Rio-Tsonis K; Liang C
Sci Rep; 2015 Oct; 5():14617. PubMed ID: 26434581
[TBL] [Abstract][Full Text] [Related]
26. miRNA data analysis: next-gen sequencing.
Gunaratne PH; Coarfa C; Soibam B; Tandon A
Methods Mol Biol; 2012; 822():273-88. PubMed ID: 22144206
[TBL] [Abstract][Full Text] [Related]
27. Analysis of Small RNA Sequencing Data in Plants.
Garg V; Varshney RK
Methods Mol Biol; 2022; 2443():497-509. PubMed ID: 35037223
[TBL] [Abstract][Full Text] [Related]
28. Web-based NGS data analysis using miRMaster: a large-scale meta-analysis of human miRNAs.
Fehlmann T; Backes C; Kahraman M; Haas J; Ludwig N; Posch AE; Würstle ML; Hübenthal M; Franke A; Meder B; Meese E; Keller A
Nucleic Acids Res; 2017 Sep; 45(15):8731-8744. PubMed ID: 28911107
[TBL] [Abstract][Full Text] [Related]
29. miR-RACE: an effective approach to accurately determine the sequence of computationally identified miRNAs.
Wang C; Fang J
Methods Mol Biol; 2015; 1296():109-18. PubMed ID: 25791595
[TBL] [Abstract][Full Text] [Related]
30. High-throughput sequencing reveals differential expression of miRNAs in prehierarchal follicles of laying and brooding geese.
Yu J; He K; Ren T; Lou Y; Zhao A
Physiol Genomics; 2016 Jul; 48(7):455-63. PubMed ID: 27199452
[TBL] [Abstract][Full Text] [Related]
31. Single-cell sequencing of miRNAs: A modified technology.
Chakraborty C; Bhattacharya M; Agoramoorthy G
Cell Biol Int; 2020 Sep; 44(9):1773-1780. PubMed ID: 32379363
[TBL] [Abstract][Full Text] [Related]
32. Next-Generation Sequencing for MicroRNA Expression Profile.
Hu Y; Lan W; Miller D
Methods Mol Biol; 2017; 1617():169-177. PubMed ID: 28540684
[TBL] [Abstract][Full Text] [Related]
33. Improving miRNA Target Prediction Using CLASH Data.
Li X; Hu H
Methods Mol Biol; 2019; 1970():75-83. PubMed ID: 30963489
[TBL] [Abstract][Full Text] [Related]
34. Detection of small RNAs and microRNAs using deep sequencing technology.
Havecker ER
Methods Mol Biol; 2011; 732():55-68. PubMed ID: 21431705
[TBL] [Abstract][Full Text] [Related]
35. QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs by jointly processing multiple samples from microRNA sequencing.
Zhao S; Gordon W; Du S; Zhang C; He W; Xi L; Mathur S; Agostino M; Paradis T; von Schack D; Vincent M; Zhang B
BMC Bioinformatics; 2017 Mar; 18(1):180. PubMed ID: 28320324
[TBL] [Abstract][Full Text] [Related]
36. Identification and expression profiling of Vigna mungo microRNAs from leaf small RNA transcriptome by deep sequencing.
Paul S; Kundu A; Pal A
J Integr Plant Biol; 2014 Jan; 56(1):15-23. PubMed ID: 24138283
[TBL] [Abstract][Full Text] [Related]
37. Identification and characterization of Prunus persica miRNAs in response to UVB radiation in greenhouse through high-throughput sequencing.
Li S; Shao Z; Fu X; Xiao W; Li L; Chen M; Sun M; Li D; Gao D
BMC Genomics; 2017 Dec; 18(1):938. PubMed ID: 29197334
[TBL] [Abstract][Full Text] [Related]
38. Identification of microRNAs in the Toxigenic Dinoflagellate Alexandrium catenella by High-Throughput Illumina Sequencing and Bioinformatic Analysis.
Geng H; Sui Z; Zhang S; Du Q; Ren Y; Liu Y; Kong F; Zhong J; Ma Q
PLoS One; 2015; 10(9):e0138709. PubMed ID: 26398216
[TBL] [Abstract][Full Text] [Related]
39. Statistical Methods for Identifying Biomarkers from miRNA Profiles of Cancers.
Namkung J
Methods Mol Biol; 2019; 1882():261-286. PubMed ID: 30378062
[TBL] [Abstract][Full Text] [Related]
40. Quantification of microRNA expression with next-generation sequencing.
Eminaga S; Christodoulou DC; Vigneault F; Church GM; Seidman JG
Curr Protoc Mol Biol; 2013 Jul; Chapter 4():Unit 4.17. PubMed ID: 23821442
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
