exomePeak

exomePeak detects and analyzes N6-methyladenosine (m(6)A) modifications from MeRIP-seq (methylated RNA immunoprecipitation sequencing) data to identify sites and perform differential analysis of RNA methylation.


Key Features:

  • RNA Methylation Site Detection: Identifies specific N6-methyladenosine (m(6)A) sites from MeRIP-seq data under defined experimental conditions.
  • Differential Analysis: Provides functions to compare two experimental conditions and detect differential m(6)A methylation across transcripts.
  • Comprehensive Protocol: Implements a protocol covering steps from raw read alignment to downstream functional analysis for MeRIP-seq data.
  • Motif Discovery and Functional Analysis: Supports motif discovery and functional analysis to investigate biological implications of RNA modifications.

Scientific Applications:

  • RNA Epigenetics Research: Enables studies of how m(6)A modifications influence gene expression and cellular processes.
  • Transcriptome-wide Mapping: Facilitates transcriptome-wide mapping of post-transcriptional RNA modifications using MeRIP-seq data.
  • Differential Methylation Studies: Supports case-control and comparative studies of development, disease progression, and responses to environmental stimuli via differential methylation analysis.

Methodology:

Computational steps explicitly include alignment of raw reads, detection of methylation sites, motif discovery, and differential methylation analysis; the software is implemented as an R/Bioconductor package and builds on a MATLAB package framework (Meng, Jia, et al., 2013).

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Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/10/2019

Operations

Publications

Meng J, Lu Z, Liu H, Zhang L, Zhang S, Chen Y, Rao MK, Huang Y. A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package. Methods. 2014;69(3):274-281. doi:10.1016/j.ymeth.2014.06.008. PMID:24979058. PMCID:PMC4194139.

PMID: 24979058
PMCID: PMC4194139
Funding: - National Natural Science Foundation of China: 61170134, 61201408, 81373469 - National Institutes of Health: NIH-NCIP30CA54174 - National Science Foundation: CCF-0546345 - Qatar National Research Fund: 09-874-3-235 - Fundamental Research Funds for the Central Universities: 2014QNA84, 2014QNB47 - Jiangsu Natural Science Foundation: SBK2014041258 - China Postdoctoral Science Foundation: 2012M511816 - National Institute on Minority Health and Health Disparities: G12MD007591

Documentation

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