MeQA

MeQA analyzes methylated DNA immunoprecipitation sequencing (MeDIP-seq) datasets to preprocess reads, assess read quality, profile genomic read distribution, and estimate DNA methylation levels.


Key Features:

  • Pre-Processing: Handles raw MeDIP-seq sequencing data and supports paired-end and single-end read formats for downstream analysis.
  • Quality Assessment: Performs quality control to evaluate the integrity and reliability of sequencing reads.
  • Read Distribution Analysis: Analyzes the genomic distribution of sequencing reads to assess coverage patterns for methylation profiling.
  • Methylation Estimation: Estimates DNA methylation levels from MeDIP-seq immunoprecipitated reads using computational algorithms to generate methylation profiles.

Scientific Applications:

  • Epigenetic profiling: Enables genome-wide characterization of DNA methylation patterns from MeDIP-seq data.
  • Gene regulation studies: Supports investigation of methylation-associated regulation of gene expression.
  • Disease and developmental biology: Facilitates analysis of methylation changes relevant to disease mechanisms and developmental processes.

Methodology:

Integrates customized scripting with existing bioinformatics tools to create a cohesive workflow tailored for MeDIP-seq data.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Python
Added:
12/18/2017
Last Updated:
4/22/2021

Operations

Data Inputs & Outputs

Other operations do not define inputs or outputs.

Publications

Huang J, Renault V, Sengenès J, Touleimat N, Michel S, Lathrop M, Tost J. MeQA: a pipeline for MeDIP-seq data quality assessment and analysis. Bioinformatics. 2011;28(4):587-588. doi:10.1093/bioinformatics/btr699.

Documentation

Links