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
Analysis
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.