BEAVR

BEAVR performs analysis and visualization of RNA-seq data to identify differentially expressed genes and enable downstream exploratory analyses such as clustering and pathway analysis.

Key Features:

• Differential Gene Expression (DGE) using DESeq2: Performs DGE analysis of RNA-seq data using the DESeq2 statistical framework.
• Automated Analysis Workflow: Automates multiple computational steps in RNA-seq analysis, including execution of DESeq2 for DGE.
• Customizable Statistical Parameters: Allows adjustment of statistical testing parameters and variance-handling options for analyses.
• Clustering Methods: Supports application of clustering methods for grouping samples or genes.
• Pathway Analysis: Provides functionality for downstream pathway analysis of gene expression results.
• Visualization Options: Produces graphs, plots, and heatmaps for presentation and interpretation of RNA-seq results.

Scientific Applications:

• Molecular Biology Research: Identifies differentially expressed genes to inform studies of gene regulation and function.
• Clinical Research: Supports analysis of RNA-seq data in clinical studies, enabling examination of gene expression profiles relevant to personalized medicine.

Methodology:

Performs automated computational steps for RNA-seq analysis and uses DESeq2 for statistical differential expression analysis.