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.

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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.

Documentation

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