181 related articles for article (PubMed ID: 32065125)
1. A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants.
Wang Y; Kuang Z; Li L; Yang X
J Vis Exp; 2020 Jan; (155):. PubMed ID: 32065125
[TBL] [Abstract][Full Text] [Related]
2. miRDeep-P2: accurate and fast analysis of the microRNA transcriptome in plants.
Kuang Z; Wang Y; Li L; Yang X
Bioinformatics; 2019 Jul; 35(14):2521-2522. PubMed ID: 30521000
[TBL] [Abstract][Full Text] [Related]
3. Plant MicroRNA Identification and Annotation Using Deep Sequencing Data.
Kuang Z; Zhao Y; Yang X
Methods Mol Biol; 2023; 2595():239-250. PubMed ID: 36441467
[TBL] [Abstract][Full Text] [Related]
4. PmiRDiscVali: an integrated pipeline for plant microRNA discovery and validation.
Yu D; Wan Y; Ito H; Ma X; Xie T; Wang T; Shao C; Meng Y
BMC Genomics; 2019 Feb; 20(1):133. PubMed ID: 30760208
[TBL] [Abstract][Full Text] [Related]
5. MicroRNA annotation in plants: current status and challenges.
Zhao Y; Kuang Z; Wang Y; Li L; Yang X
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33754625
[TBL] [Abstract][Full Text] [Related]
6. miRDeep-P: a computational tool for analyzing the microRNA transcriptome in plants.
Yang X; Li L
Bioinformatics; 2011 Sep; 27(18):2614-5. PubMed ID: 21775303
[TBL] [Abstract][Full Text] [Related]
7. Next-generation sequencing identifies the natural killer cell microRNA transcriptome.
Fehniger TA; Wylie T; Germino E; Leong JW; Magrini VJ; Koul S; Keppel CR; Schneider SE; Koboldt DC; Sullivan RP; Heinz ME; Crosby SD; Nagarajan R; Ramsingh G; Link DC; Ley TJ; Mardis ER
Genome Res; 2010 Nov; 20(11):1590-604. PubMed ID: 20935160
[TBL] [Abstract][Full Text] [Related]
8. Investigating the regulatory roles of the microRNAs and the Argonaute 1-enriched small RNAs in plant metabolism.
Qin J; Tang Z; Ma X; Meng Y
Gene; 2017 Sep; 628():180-189. PubMed ID: 28698160
[TBL] [Abstract][Full Text] [Related]
9. Improved Placement of Multi-mapping Small RNAs.
Johnson NR; Yeoh JM; Coruh C; Axtell MJ
G3 (Bethesda); 2016 Jul; 6(7):2103-11. PubMed ID: 27175019
[TBL] [Abstract][Full Text] [Related]
10. The Complexity of Posttranscriptional Small RNA Regulatory Networks Revealed by In Silico Analysis of Gossypium arboreum L. Leaf, Flower and Boll Small Regulatory RNAs.
Hu H; Rashotte AM; Singh NK; Weaver DB; Goertzen LR; Singh SR; Locy RD
PLoS One; 2015; 10(6):e0127468. PubMed ID: 26070200
[TBL] [Abstract][Full Text] [Related]
11. PMRD: plant microRNA database.
Zhang Z; Yu J; Li D; Zhang Z; Liu F; Zhou X; Wang T; Ling Y; Su Z
Nucleic Acids Res; 2010 Jan; 38(Database issue):D806-13. PubMed ID: 19808935
[TBL] [Abstract][Full Text] [Related]
12. Identification of Taxus microRNAs and their targets with high-throughput sequencing and degradome analysis.
Hao DC; Yang L; Xiao PG; Liu M
Physiol Plant; 2012 Dec; 146(4):388-403. PubMed ID: 22708792
[TBL] [Abstract][Full Text] [Related]
13. MicroRNA Expression Analysis: Next-Generation Sequencing.
Liu P
Methods Mol Biol; 2018; 1783():171-183. PubMed ID: 29767362
[TBL] [Abstract][Full Text] [Related]
14. sRIS: A Small RNA Illustration System for Plant Next-Generation Sequencing Data Analysis.
Tseng KC; Chiang-Hsieh YF; Pai H; Wu NY; Zheng HQ; Chow CN; Lee TY; Chang SB; Lin NS; Chang WC
Plant Cell Physiol; 2020 Jun; 61(6):1204-1212. PubMed ID: 32181856
[TBL] [Abstract][Full Text] [Related]
15. Popular Computational Tools Used for miRNA Prediction and Their Future Development Prospects.
Yu T; Xu N; Haque N; Gao C; Huang W; Huang Z
Interdiscip Sci; 2020 Dec; 12(4):395-413. PubMed ID: 32959233
[TBL] [Abstract][Full Text] [Related]
16. The UEA Small RNA Workbench: A Suite of Computational Tools for Small RNA Analysis.
Mohorianu I; Stocks MB; Applegate CS; Folkes L; Moulton V
Methods Mol Biol; 2017; 1580():193-224. PubMed ID: 28439835
[TBL] [Abstract][Full Text] [Related]
17. Analysis of microRNA profile of Anopheles sinensis by deep sequencing and bioinformatic approaches.
Feng X; Zhou X; Zhou S; Wang J; Hu W
Parasit Vectors; 2018 Mar; 11(1):172. PubMed ID: 29530087
[TBL] [Abstract][Full Text] [Related]
18. Revisiting Criteria for Plant MicroRNA Annotation in the Era of Big Data.
Axtell MJ; Meyers BC
Plant Cell; 2018 Feb; 30(2):272-284. PubMed ID: 29343505
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of miRNAs and their targets through high-throughput sequencing and degradome analysis in male and female Asparagus officinalis.
Chen J; Zheng Y; Qin L; Wang Y; Chen L; He Y; Fei Z; Lu G
BMC Plant Biol; 2016 Apr; 16():80. PubMed ID: 27068118
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]