ERSSA

ERSSA takes user-supplied RNA-seq differential expression datasets and calculates the number of differentially expressed genes at varying biological replicate levels to determine whether sufficient differential detection has been achieved without relying on a priori assumptions.

Key Features:

• Empirical sample size analysis: Calculates the number of differentially expressed genes across varying biological replicate levels from user-supplied data.
• A priori assumption-free evaluation: Determines sufficient differential detection without requiring predefined assumptions about the dataset.

Scientific Applications:

• RNA-seq experimental design assessment: Evaluates whether existing RNA-seq differential expression datasets have achieved adequate biological replication for reliable differential gene detection.
• Sample size optimization: Guides researchers in determining if additional biological replicates are needed to improve differential expression detection power in RNA-seq studies.

Methodology:

ERSSA takes a user-supplied RNA-seq differential expression dataset and calculates the number of differentially expressed genes at varying biological replicate levels.