compcodeR

compcodeR simulates realistic RNA-seq count datasets and benchmarks differential expression analysis methods to evaluate their performance.

Key Features:

• Simulation of Realistic RNA-seq Data: Generates RNA-seq count datasets that mimic real-world data characteristics for controlled testing of differential expression methods.
• Interface to Differential Expression Analysis Methods: Provides interfaces to multiple established differential expression tools to apply and compare methods consistently.
• Evaluation and Comparison Capabilities: Implements an evaluation framework to compare method performance using metrics such as accuracy, sensitivity, specificity, and computational efficiency on real and simulated datasets.

Scientific Applications:

• Benchmarking Studies: Enables systematic comparison of RNA-seq differential expression methods by quantifying performance metrics across datasets.
• Method Development and Validation: Supports validation of new or modified differential expression algorithms against simulated benchmarks.
• Educational Use: Provides simulated datasets and comparison workflows for training in differential expression analysis and method assessment.

Methodology:

Simulates RNA-seq count data, interfaces with multiple differential expression tools to apply methods consistently, and computes performance metrics for evaluation on real and simulated datasets.