380 related articles for article (PubMed ID: 32313079)
1. Limits in the detection of m
McIntyre ABR; Gokhale NS; Cerchietti L; Jaffrey SR; Horner SM; Mason CE
Sci Rep; 2020 Apr; 10(1):6590. PubMed ID: 32313079
[TBL] [Abstract][Full Text] [Related]
2. A hierarchical model for clustering m(6)A methylation peaks in MeRIP-seq data.
Cui X; Meng J; Zhang S; Rao MK; Chen Y; Huang Y
BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):520. PubMed ID: 27556597
[TBL] [Abstract][Full Text] [Related]
3. MeRIP-PF: an easy-to-use pipeline for high-resolution peak-finding in MeRIP-Seq data.
Li Y; Song S; Li C; Yu J
Genomics Proteomics Bioinformatics; 2013 Feb; 11(1):72-5. PubMed ID: 23434047
[TBL] [Abstract][Full Text] [Related]
4. MoAIMS: efficient software for detection of enriched regions of MeRIP-Seq.
Zhang Y; Hamada M
BMC Bioinformatics; 2020 Mar; 21(1):103. PubMed ID: 32171255
[TBL] [Abstract][Full Text] [Related]
5. Validated Impacts of N6-Methyladenosine Methylated mRNAs on Apoptosis and Angiogenesis in Myocardial Infarction Based on MeRIP-Seq Analysis.
Zhang Y; Hua W; Dang Y; Cheng Y; Wang J; Zhang X; Teng M; Wang S; Zhang M; Kong Z; Lu X; Zheng Y
Front Mol Biosci; 2021; 8():789923. PubMed ID: 35155564
[No Abstract] [Full Text] [Related]
6. A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package.
Meng J; Lu Z; Liu H; Zhang L; Zhang S; Chen Y; Rao MK; Huang Y
Methods; 2014 Oct; 69(3):274-81. PubMed ID: 24979058
[TBL] [Abstract][Full Text] [Related]
7. A novel algorithm for calling mRNA m6A peaks by modeling biological variances in MeRIP-seq data.
Cui X; Meng J; Zhang S; Chen Y; Huang Y
Bioinformatics; 2016 Jun; 32(12):i378-i385. PubMed ID: 27307641
[TBL] [Abstract][Full Text] [Related]
8. Methylated RNA Immunoprecipitation Assay to Study m5C Modification in Arabidopsis.
Saplaoura E; Perrera V; Colot V; Kragler F
J Vis Exp; 2020 May; (159):. PubMed ID: 32478728
[TBL] [Abstract][Full Text] [Related]
9. Analyzing mRNA Epigenetic Sequencing Data with TRESS.
Guo Z; Shafik AM; Jin P; Wu Z; Wu H
Methods Mol Biol; 2023; 2624():163-183. PubMed ID: 36723816
[TBL] [Abstract][Full Text] [Related]
10. Spatially Enhanced Differential RNA Methylation Analysis from Affinity-Based Sequencing Data with Hidden Markov Model.
Zhang YC; Zhang SW; Liu L; Liu H; Zhang L; Cui X; Huang Y; Meng J
Biomed Res Int; 2015; 2015():852070. PubMed ID: 26301253
[TBL] [Abstract][Full Text] [Related]
11. MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data.
Cui X; Zhang L; Meng J; Rao MK; Chen Y; Huang Y
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(2):526-534. PubMed ID: 29610101
[TBL] [Abstract][Full Text] [Related]
12. Identification and comparison of m6A modifications in glioblastoma non-coding RNAs with MeRIP-seq and Nanopore dRNA-seq.
Krusnauskas R; Stakaitis R; Steponaitis G; Almstrup K; Vaitkiene P
Epigenetics; 2023 Dec; 18(1):2163365. PubMed ID: 36597408
[TBL] [Abstract][Full Text] [Related]
13. m
Bhattarai DP; Aguilo F
Methods Mol Biol; 2022; 2404():355-362. PubMed ID: 34694619
[TBL] [Abstract][Full Text] [Related]
14. m6ACali: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq.
Ye H; Li T; Rigden DJ; Wei Z
Nucleic Acids Res; 2024 May; 52(9):4830-4842. PubMed ID: 38634812
[TBL] [Abstract][Full Text] [Related]
15. Transcriptome-wide N
Zheng X; Zhou B; Li Y; Zhong H; Huang Z; Gu M
BMC Genomics; 2023 Dec; 24(1):774. PubMed ID: 38097926
[TBL] [Abstract][Full Text] [Related]
16. Genome-Wide Location Analyses of N6-Methyladenosine Modifications (m
Molinie B; Giallourakis CC
Methods Mol Biol; 2017; 1562():45-53. PubMed ID: 28349453
[TBL] [Abstract][Full Text] [Related]
17. Base-Resolution Sequencing Methods for Whole-Transcriptome Quantification of mRNA Modifications.
Zhang LS; Dai Q; He C
Acc Chem Res; 2024 Jan; 57(1):47-58. PubMed ID: 38079380
[TBL] [Abstract][Full Text] [Related]
18. Differential RNA methylation analysis for MeRIP-seq data under general experimental design.
Guo Z; Shafik AM; Jin P; Wu H
Bioinformatics; 2022 Oct; 38(20):4705-4712. PubMed ID: 36063045
[TBL] [Abstract][Full Text] [Related]
19. RADAR: differential analysis of MeRIP-seq data with a random effect model.
Zhang Z; Zhan Q; Eckert M; Zhu A; Chryplewicz A; De Jesus DF; Ren D; Kulkarni RN; Lengyel E; He C; Chen M
Genome Biol; 2019 Dec; 20(1):294. PubMed ID: 31870409
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive Analysis of Differentially Expressed Profiles of mRNA N6-Methyladenosine in Colorectal Cancer.
Li N; Guo Q; Zhang Q; Chen BJ; Li XA; Zhou Y
Front Cell Dev Biol; 2021; 9():760912. PubMed ID: 35087827
[No Abstract] [Full Text] [Related]
[Next] [New Search]