331 related articles for article (PubMed ID: 25547126)
1. Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine.
Meng J; Liu D; Sun C; Luan Y
BMC Bioinformatics; 2014 Dec; 15(1):423. PubMed ID: 25547126
[TBL] [Abstract][Full Text] [Related]
2. PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs.
Xuan P; Guo M; Liu X; Huang Y; Li W; Huang Y
Bioinformatics; 2011 May; 27(10):1368-76. PubMed ID: 21441575
[TBL] [Abstract][Full Text] [Related]
3. MaturePred: efficient identification of microRNAs within novel plant pre-miRNAs.
Xuan P; Guo M; Huang Y; Li W; Huang Y
PLoS One; 2011; 6(11):e27422. PubMed ID: 22110646
[TBL] [Abstract][Full Text] [Related]
4. ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo
Meher PK; Begam S; Sahu TK; Gupta A; Kumar A; Kumar U; Rao AR; Singh KP; Dhankher OP
Int J Mol Sci; 2022 Jan; 23(3):. PubMed ID: 35163534
[TBL] [Abstract][Full Text] [Related]
5. Profiling microRNAs and their targets in an important fleshy fruit: tomato (Solanum lycopersicum).
Din M; Barozai MY
Gene; 2014 Feb; 535(2):198-203. PubMed ID: 24315821
[TBL] [Abstract][Full Text] [Related]
6. plantMirP: an efficient computational program for the prediction of plant pre-miRNA by incorporating knowledge-based energy features.
Yao Y; Ma C; Deng H; Liu Q; Zhang J; Yi M
Mol Biosyst; 2016 Oct; 12(10):3124-31. PubMed ID: 27472470
[TBL] [Abstract][Full Text] [Related]
7. Genomic profiling of exogenous abscisic acid-responsive microRNAs in tomato (Solanum lycopersicum).
Cheng HY; Wang Y; Tao X; Fan YF; Dai Y; Yang H; Ma XR
BMC Genomics; 2016 Jun; 17():423. PubMed ID: 27260799
[TBL] [Abstract][Full Text] [Related]
8. Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
Xue C; Li F; He T; Liu GP; Li Y; Zhang X
BMC Bioinformatics; 2005 Dec; 6():310. PubMed ID: 16381612
[TBL] [Abstract][Full Text] [Related]
9. MiRPara: a SVM-based software tool for prediction of most probable microRNA coding regions in genome scale sequences.
Wu Y; Wei B; Liu H; Li T; Rayner S
BMC Bioinformatics; 2011 Apr; 12():107. PubMed ID: 21504621
[TBL] [Abstract][Full Text] [Related]
10. miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences.
Cui H; Zhai J; Ma C
PLoS One; 2015; 10(11):e0142753. PubMed ID: 26558614
[TBL] [Abstract][Full Text] [Related]
11. microRPM: a microRNA prediction model based only on plant small RNA sequencing data.
Tseng KC; Chiang-Hsieh YF; Pai H; Chow CN; Lee SC; Zheng HQ; Kuo PL; Li GZ; Hung YC; Lin NS; Chang WC
Bioinformatics; 2018 Apr; 34(7):1108-1115. PubMed ID: 29136092
[TBL] [Abstract][Full Text] [Related]
12. MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans.
Huang TH; Fan B; Rothschild MF; Hu ZL; Li K; Zhao SH
BMC Bioinformatics; 2007 Sep; 8():341. PubMed ID: 17868480
[TBL] [Abstract][Full Text] [Related]
13. miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification.
Lokuge S; Jayasundara S; Ihalagedara P; Kahanda I; Herath D
Biosystems; 2022 Jun; 215-216():104662. PubMed ID: 35306049
[TBL] [Abstract][Full Text] [Related]
14. MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features.
Ding J; Zhou S; Guan J
BMC Bioinformatics; 2010 Dec; 11 Suppl 11(Suppl 11):S11. PubMed ID: 21172046
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs.
Ma Y; Yu Z; Han G; Li J; Anh V
BMC Bioinformatics; 2018 Dec; 19(Suppl 19):521. PubMed ID: 30598066
[TBL] [Abstract][Full Text] [Related]
17. Prediction and identification of Arabidopsis thaliana microRNAs and their mRNA targets.
Wang XJ; Reyes JL; Chua NH; Gaasterland T
Genome Biol; 2004; 5(9):R65. PubMed ID: 15345049
[TBL] [Abstract][Full Text] [Related]
18. In silico identification of conserved microRNAs in large number of diverse plant species.
Sunkar R; Jagadeeswaran G
BMC Plant Biol; 2008 Apr; 8():37. PubMed ID: 18416839
[TBL] [Abstract][Full Text] [Related]
19. Identification of conserved microRNAs and their targets from Solanum lycopersicum Mill.
Zhang J; Zeng R; Chen J; Liu X; Liao Q
Gene; 2008 Oct; 423(1):1-7. PubMed ID: 18602455
[TBL] [Abstract][Full Text] [Related]
20. Identification of novel small RNAs in tomato (Solanum lycopersicum).
Pilcher RL; Moxon S; Pakseresht N; Moulton V; Manning K; Seymour G; Dalmay T
Planta; 2007 Aug; 226(3):709-17. PubMed ID: 17415587
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]