RNAseqPS: A Web Tool for Estimating Sample Size and Power for RNAseq Experiment

Area of Science:

• Genomics and Bioinformatics
• Statistical Genetics

Background:

• Sample size and power calculations are essential for robust experimental design, particularly for grant funding.
• Established methods exist for traditional studies like GWAS and microarrays.
• High-throughput RNA sequencing (RNAseq) has become the preferred method for gene expression profiling, but lacks dedicated sample size and power analysis tools.

Purpose of the Study:

• To address the underdeveloped area of sample size and power analysis for RNAseq.
• To introduce RNAseqPS, an advanced online tool for RNAseq experimental design.

Main Methods:

• Development of RNAseqPS, an online tool utilizing R and the Shiny package.
• Implementation of statistical models based on Poisson and negative binomial distributions.
• Creation of an interactive graphical user interface for user-friendly operation.

Main Results:

• RNAseqPS provides a practical solution for sample size and power calculations specific to RNAseq.
• The tool facilitates efficient experimental design for gene expression studies.
• An accessible online platform is now available for researchers.

Conclusions:

• RNAseqPS simplifies sample size and power analysis for RNAseq experiments.
• The tool supports researchers in designing statistically sound high-throughput gene expression studies.
• This resource aids in obtaining reliable results and securing research funding.