MassArray
MassArray processes and analyzes bisulfite-converted DNA methylation data from Sequenom EpiTYPER MALDI-TOF output to enable quantitative assessment of DNA cytosine methylation for epigenetic profiling.
Key Features:
- Assay Design and Optimization: Provides amplicon prediction capabilities to support optimal assay design.
- Quality Control Measures: Estimates bisulfite conversion efficiency and detects primer dimers for data quality assessment.
- Data Analysis Pipeline: Consumes standard Sequenom output files to calculate bisulfite conversion efficiency, flag sequence polymorphisms, and integrate multiple experimental replicates.
- Visualization Tools: Generates genome browser tracks and combines results from multiple experiments for interpretation of methylation patterns.
- Sequenom EpiTYPER / MALDI-TOF Support: Processes and integrates data produced by the Sequenom MassArray EpiTYPER MALDI-TOF assay from bisulfite-treated DNA.
- R Package Implementation: Implements analysis and visualization functionality within an R package.
Scientific Applications:
- Epigenetic Regulation Studies: Supports investigations of DNA cytosine methylation roles in gene regulation, mammalian development, and disease.
- Assay Validation and Quantitative Profiling: Enables quantitative validation of genome-wide cytosine methylation assays using MALDI-TOF EpiTYPER data and facilitates precise epigenetic profiling.
Methodology:
Uses Sequenom MassArray (EpiTYPER) MALDI-TOF output as input; calculates bisulfite conversion efficiency; detects primer dimers; flags sequence polymorphisms; integrates experimental replicates; generates genome browser tracks; implemented as an R package.
Topics
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:
- 11/25/2024
Operations
Publications
Thompson RF, Suzuki M, Lau KW, Greally JM. A pipeline for the quantitative analysis of CG dinucleotide methylation using mass spectrometry. Bioinformatics. 2009;25(17):2164-2170. doi:10.1093/bioinformatics/btp382. PMID:19561019. PMCID:PMC2800352.