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.
127 related articles for article (PubMed ID: 28379479)
1. Experimental design and data analysis of Ago-RIP-Seq experiments for the identification of microRNA targets. Tichy D; Pickl JMA; Benner A; Sültmann H Brief Bioinform; 2018 Sep; 19(5):918-929. PubMed ID: 28379479 [TBL] [Abstract][Full Text] [Related]
2. Recent computational developments on CLIP-seq data analysis and microRNA targeting implications. Bottini S; Pratella D; Grandjean V; Repetto E; Trabucchi M Brief Bioinform; 2018 Nov; 19(6):1290-1301. PubMed ID: 28605404 [TBL] [Abstract][Full Text] [Related]
3. Identification of active miRNA promoters from nuclear run-on RNA sequencing. Liu Q; Wang J; Zhao Y; Li CI; Stengel KR; Acharya P; Johnston G; Hiebert SW; Shyr Y Nucleic Acids Res; 2017 Jul; 45(13):e121. PubMed ID: 28460090 [TBL] [Abstract][Full Text] [Related]
6. A survey of software tools for microRNA discovery and characterization using RNA-seq. Bortolomeazzi M; Gaffo E; Bortoluzzi S Brief Bioinform; 2019 May; 20(3):918-930. PubMed ID: 29126230 [TBL] [Abstract][Full Text] [Related]
7. Immunoprecipitation and High-Throughput Sequencing of ARGONAUTE-Bound Target RNAs from Plants. Carbonell A Methods Mol Biol; 2017; 1640():93-112. PubMed ID: 28608336 [TBL] [Abstract][Full Text] [Related]
9. Differential correlation for sequencing data. Siska C; Kechris K BMC Res Notes; 2017 Jan; 10(1):54. PubMed ID: 28103954 [TBL] [Abstract][Full Text] [Related]
10. Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates. Gu X Brief Bioinform; 2016 Mar; 17(2):243-8. PubMed ID: 26108230 [TBL] [Abstract][Full Text] [Related]
11. omniCLIP: probabilistic identification of protein-RNA interactions from CLIP-seq data. Drewe-Boss P; Wessels HH; Ohler U Genome Biol; 2018 Nov; 19(1):183. PubMed ID: 30384847 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. SimSeq: a nonparametric approach to simulation of RNA-sequence datasets. Benidt S; Nettleton D Bioinformatics; 2015 Jul; 31(13):2131-40. PubMed ID: 25725090 [TBL] [Abstract][Full Text] [Related]
14. BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data. Chae H; Rhee S; Nephew KP; Kim S Bioinformatics; 2015 Jan; 31(2):265-7. PubMed ID: 25270639 [TBL] [Abstract][Full Text] [Related]
15. The use of high-throughput sequencing methods for plant microRNA research. Ma X; Tang Z; Qin J; Meng Y RNA Biol; 2015; 12(7):709-19. PubMed ID: 26016494 [TBL] [Abstract][Full Text] [Related]
16. A heavy-tailed model for analyzing miRNA-seq raw read counts. Krutto A; Haugdahl Nøst T; Thoresen M Stat Appl Genet Mol Biol; 2024 Jan; 23(1):. PubMed ID: 38810893 [TBL] [Abstract][Full Text] [Related]
17. An Assessment of the Next Generation of Animal miRNA Target Prediction Algorithms. Bradley T; Moxon S Methods Mol Biol; 2017; 1580():175-191. PubMed ID: 28439834 [TBL] [Abstract][Full Text] [Related]
18. dCLIP: a computational approach for comparative CLIP-seq analyses. Wang T; Xie Y; Xiao G Genome Biol; 2014 Jan; 15(1):R11. PubMed ID: 24398258 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. miRNome Analysis of CML Cells. Yang Y; Ding N; Dong X; Fang X Methods Mol Biol; 2016; 1465():207-17. PubMed ID: 27581150 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]