Funm6AViewer

Funm6AViewer analyzes context-specific N6-methyladenosine (m6A) RNA methylation to integrate differential m6A sites with differential gene expression and reveal functional gene interaction networks and prioritized genes mediating condition-specific regulation.


Key Features:

  • Data Integration: Accepts differential RNA methylation and differential gene expression data, including inputs derived from MeRIP-seq.
  • Distribution Examination: Analyzes the distribution of differential m6A sites to identify patterns and variations across conditions.
  • Gene Prioritization: Prioritizes genes mediated by dynamic m6A methylation to highlight candidates likely involved in condition-specific regulatory processes.
  • Network Characterization: Constructs and characterizes gene regulatory and interaction networks influenced by context-specific m6A modifications.
  • Visualization Tools: Provides visual representations of gene interaction networks mediated by m6A methylation for exploratory analysis.

Scientific Applications:

  • Epitranscriptome functional analysis: Identifies and explores the functional relevance of context-specific m6A modifications in the mRNA epitranscriptome.
  • Regulatory network investigation: Reveals how dynamic m6A methylation shapes gene regulatory and interaction networks in diverse biological contexts.
  • Disease and cellular process studies: Supports investigation of how reversible m6A RNA modifications influence cellular processes and disease mechanisms.

Methodology:

Integrates differential methylation data with gene expression profiles to construct and analyze functional gene interaction networks.

Topics

Details

Tool Type:
library, web application
Programming Languages:
R
Added:
9/20/2021
Last Updated:
9/20/2021

Operations

Publications

Zhang S, Zhang S, Tang Y, Fan X, Meng J. Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation. Bioinformatics. 2021;37(22):4277-4279. doi:10.1093/bioinformatics/btab362. PMID:33974000.

PMID: 33974000
Funding: - National Natural Science Foundation of China: 31671373, 61473232, 61873202 - China Postdoctoral Science Foundation: 2020M683568

Links