MAGPIE

MAGPIE assesses statistical power and simulates N6-methyladenosine (m6A) epitranscriptome sequencing data to support experimental design and sample-size decisions in studies of RNA modifications.

Key Features:

• Statistical Power Assessment: Calculates statistical power to detect m6A modifications while accounting for sample size, sequencing depth, effect size, and basal expression ranges.
• Simulation-Based Approach: Implements a simulation-based methodology that leverages real pilot datasets to model factors affecting detection of N6-methyladenosine (m6A).
• Flexible Simulator Module: Synthesizes realistic m6A sequencing data by borrowing information from actual datasets to generate varied experimental scenarios.
• Comprehensive Evaluation Metrics: Evaluates a broad set of metrics to quantify expected detection performance and power for proposed experiments.

Scientific Applications:

• Epitranscriptome experimental design: Guides decisions on sample size and sequencing depth for studies of RNA methylations such as N6-methyladenosine (m6A).
• Pre-experimental scenario testing: Enables assessment of expected detection rates and sensitivity to effect sizes by simulating m6A sequencing data from pilot datasets.

Methodology:

A simulator module generates synthetic m6A sequencing data by borrowing information from real pilot datasets. A power assessment module evaluates a comprehensive set of metrics considering sample size, sequencing depth, effect size, and basal expression ranges.