magpie: A power evaluation method for differential RNA methylation analysis in N6-methyladenosine sequencing
Zhenxing Guo, Daoyu Duan, Wen Tang, Julia Zhu, William S. Bush, Liangliang Zhang, Xiaofeng Zhu, Fulai Jin, Hao Feng
TL;DR
The paper introduces magpie, a new tool for calculating statistical power in RNA methylation studies using m6A sequencing data.
Contribution
magpie is a simulation-based power evaluation method for differential RNA methylation analysis in m6A sequencing.
Findings
magpie integrates a simulator and power assessment module for realistic m6A data synthesis and evaluation.
The tool helps optimize sample size and sequencing depth for high-throughput m6A experiments.
magpie provides evaluation metrics to guide study design and power assessment in epitranscriptome research.
Abstract
Recently, novel biotechnologies to quantify RNA modifications became an increasingly popular choice for researchers who study epitranscriptome. When studying RNA methylations such as N6-methyladenosine (m6A), researchers need to make several decisions in its experimental design, especially the sample size and a proper statistical power. Due to the complexity and high-throughput nature of m6A sequencing measurements, methods for power calculation and study design are still currently unavailable. In this work, we propose a statistical power assessment tool, magpie, for power calculation and experimental design for epitranscriptome studies using m6A sequencing data. Our simulation-based power assessment tool will borrow information from real pilot data, and inspect various influential factors including sample size, sequencing depth, effect size, and basal expression ranges. We integrate…
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Taxonomy
TopicsRNA modifications and cancer · Cancer-related molecular mechanisms research · Cancer-related gene regulation