MethylSeqDesign
"MethylSeqDesign" is for power calculation and study design in Bisulfite DNA methylation sequencing (Methyl-Seq) experiments. As Methyl-Seq becomes increasingly crucial for studying genome-wide methylation level differences, robust analytical tools are needed to design these studies. MethylSeqDesign addresses the challenges posed by the complexity and vast scale of Methyl-Seq data, which previously lacked dedicated methods for power calculation and optimized study design.
The core of MethylSeqDesign's methodology is grounded in differential methylation analysis using a beta-binomial model. This model handles the variability inherent in methylation data, providing a solid foundation for accurate analysis. Power calculation within this framework is accomplished through a mixture model fitting of p-values derived from pilot data coupled with a parametric bootstrap procedure. This innovative approach allows researchers to estimate the statistical power of their experiments accurately, ensuring that studies are adequately designed to detect methylation level differences.
A unique aspect of MethylSeqDesign is its targeted approach to analysis. Instead of addressing the tens of millions of methylation sites across the genome, which can be overwhelming and impractical, MethylSeqDesign focuses on pre-specified targeted regions. This targeted inference is more manageable and aligns with the objectives of many methylation studies that are interested in specific genomic regions or loci.
Topic
Methylated DNA immunoprecipitation;Epigenetics;Microarray experiment
Detail
Operation: Post-translation modification site prediction;Whole genome methylation analysis;Bisulfite mapping
Software interface: Library
Language: R
License: The GNU General Public License v3.0
Cost: Free with restrictions
Version name: -
Credit: National Institutes of Health (NIH).
Input: -
Output: -
Contact: George Tseng ctseng@pitt.edu
Collection: -
Maturity: Stable
Publications
- MethylSeqDesign: a framework for Methyl-Seq genome-wide power calculation and study design issues.
- Liu P, et al. MethylSeqDesign: a framework for Methyl-Seq genome-wide power calculation and study design issues. MethylSeqDesign: a framework for Methyl-Seq genome-wide power calculation and study design issues. 2021; 22:35-50. doi: 10.1093/biostatistics/kxz016
- https://doi.org/10.1093/BIOSTATISTICS/KXZ016
- PMID: 31107532
- PMC: PMC7846147
Download and documentation
Source: https://github.com/liupeng2117/MethylSeqDesign/releases
Documentation: https://github.com/liupeng2117/MethylSeqDesign/blob/master/README.md
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