These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
214 related articles for article (PubMed ID: 31297537)
1. MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model. Pian C; Zhang G; Li F; Fan X Bioinformatics; 2020 Jan; 36(2):388-392. PubMed ID: 31297537 [TBL] [Abstract][Full Text] [Related]
2. i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome. Chen W; Lv H; Nie F; Lin H Bioinformatics; 2019 Aug; 35(16):2796-2800. PubMed ID: 30624619 [TBL] [Abstract][Full Text] [Related]
3. i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. Rehman MU; Tayara H; Zou Q; Chong KT Bioinformatics; 2022 Aug; 38(16):3885-3891. PubMed ID: 35771648 [TBL] [Abstract][Full Text] [Related]
4. i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome. Khanal J; Lim DY; Tayara H; Chong KT Genomics; 2021 Jan; 113(1 Pt 2):582-592. PubMed ID: 33010390 [TBL] [Abstract][Full Text] [Related]
5. Critical evaluation of web-based DNA N6-methyladenine site prediction tools. Hasan MM; Shoombuatong W; Kurata H; Manavalan B Brief Funct Genomics; 2021 Jul; 20(4):258-272. PubMed ID: 33491072 [TBL] [Abstract][Full Text] [Related]
6. A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol. Cai J; Wang D; Chen R; Niu Y; Ye X; Su R; Xiao G; Wei L Front Bioeng Biotechnol; 2020; 8():502. PubMed ID: 32582654 [TBL] [Abstract][Full Text] [Related]
7. i6mA-DNCP: Computational Identification of DNA Kong L; Zhang L Genes (Basel); 2019 Oct; 10(10):. PubMed ID: 31635172 [TBL] [Abstract][Full Text] [Related]
8. GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome. Cai J; Xiao G; Su R Methods; 2022 Aug; 204():14-21. PubMed ID: 35149214 [TBL] [Abstract][Full Text] [Related]
9. i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting. Teng Z; Zhao Z; Li Y; Tian Z; Guo M; Lu Q; Wang G Front Plant Sci; 2022; 13():845835. PubMed ID: 35237293 [TBL] [Abstract][Full Text] [Related]
10. Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. Hasan MM; Basith S; Khatun MS; Lee G; Manavalan B; Kurata H Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32910169 [TBL] [Abstract][Full Text] [Related]
11. 6mA-Finder: a novel online tool for predicting DNA N6-methyladenine sites in genomes. Xu H; Hu R; Jia P; Zhao Z Bioinformatics; 2020 May; 36(10):3257-3259. PubMed ID: 32091591 [TBL] [Abstract][Full Text] [Related]
12. iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice. Lv H; Dao FY; Guan ZX; Zhang D; Tan JX; Zhang Y; Chen W; Lin H Front Genet; 2019; 10():793. PubMed ID: 31552096 [TBL] [Abstract][Full Text] [Related]
13. i6mA-VC: A Multi-Classifier Voting Method for the Computational Identification of DNA N6-methyladenine Sites. Xue T; Zhang S; Qiao H Interdiscip Sci; 2021 Sep; 13(3):413-425. PubMed ID: 33834381 [TBL] [Abstract][Full Text] [Related]
14. A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome. Rahman CR; Amin R; Shatabda S; Toaha MSI Sci Rep; 2021 May; 11(1):10357. PubMed ID: 33990665 [TBL] [Abstract][Full Text] [Related]
15. SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species. Yang J; Lang K; Zhang G; Fan X; Chen Y; Pian C Bioinformatics; 2020 Aug; 36(14):4103-4105. PubMed ID: 32413127 [TBL] [Abstract][Full Text] [Related]
16. SoftVoting6mA: An improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes. Yin Z; Lyu J; Zhang G; Huang X; Ma Q; Jiang J Math Biosci Eng; 2024 Feb; 21(3):3798-3815. PubMed ID: 38549308 [TBL] [Abstract][Full Text] [Related]
17. Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. Li Z; Jiang H; Kong L; Chen Y; Lang K; Fan X; Zhang L; Pian C PLoS Comput Biol; 2021 Feb; 17(2):e1008767. PubMed ID: 33600435 [TBL] [Abstract][Full Text] [Related]
18. 6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site. Huang G; Huang X; Luo W BioData Min; 2023 Nov; 16(1):34. PubMed ID: 38012796 [TBL] [Abstract][Full Text] [Related]
19. Multi-scale DNA language model improves 6 mA binding sites prediction. Hou A; Luo H; Liu H; Luo L; Ding P Comput Biol Chem; 2024 Oct; 112():108129. PubMed ID: 39067351 [TBL] [Abstract][Full Text] [Related]
20. N(6) -Methyladenine: A Potential Epigenetic Mark in Eukaryotic Genomes. Summerer D Angew Chem Int Ed Engl; 2015 Sep; 54(37):10714-6. PubMed ID: 26211457 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]