Motifs detected by DREME on the MeRIP-seq datasets
Download scientific diagram | Motifs detected by DREME on the MeRIP-seq datasets from publication: A novel algorithm for calling mRNA m 6 A peaks by modeling biological variances in MeRIP-seq data | Motivation: N⁶-methyl-adenosine (m⁶A) is the most prevalent mRNA methylation but precise prediction of its mRNA location is important for understanding its function. A recent sequencing technology, known as Methylated RNA Immunoprecipitation Sequencing technology (MeRIP-seq), | mRNA, RNA Sequence Analysis and Base Sequence | ResearchGate, the professional network for scientists.
Frontiers Pseudorabies virus exploits N6-methyladenosine modification to promote viral replication
RNA Modification Database, RMBase v2.0: deciphering the map of RNA modifications from epitranscriptome sequencing data (Pseudo-seq, Ψ-seq, CeU- seq, Aza-IP, MeRIP-seq, m6A-seq, RiboMeth-seq, m1A-seq).
Refined RIP-seq protocol for epitranscriptome analysis with low input materials. - Abstract - Europe PMC
Motifs detected by DREME on the MeRIP-seq datasets
HEPeak: an HMM-based exome peak-finding package for RNA epigenome sequencing data, BMC Genomics
Comprehensive analysis of transcriptomic profiling of 5‐methylcytosin modification in placentas from preeclampsia and normotensive pregnancies - Wei - 2023 - The FASEB Journal - Wiley Online Library
Comprehensive analysis of N6-methyladenosine-related RNA methylation in the mouse hippocampus after acquired hearing loss, BMC Genomics
Fat mass and obesity-associated protein regulates RNA methylation associated with depression-like behavior in mice
m6A demethylase FTO attenuates cardiac dysfunction by regulating glucose uptake and glycolysis in mice with pressure overload-induced heart failure
A hierarchical model for clustering m6A methylation peaks in MeRIP-seq data, BMC Genomics
Limits in the detection of m6A changes using MeRIP/m6A-seq
Frontiers HIV Modifies the m6A and m5C Epitranscriptomic Landscape of the Host Cell
