ROGUE

ROGUE analyzes RNA sequencing (RNA-Seq) datasets to identify differentially expressed genes, perform Gene Ontology and pathway enrichment analyses, and pinpoint potential biomarkers for biological and biomedical research.

Key Features:

• Differentially Expressed Gene Analysis: Identifies genes with significant expression differences across conditions or sample groups within RNA-Seq datasets.
• Gene Ontology and Pathway Enrichment Analysis: Performs Gene Ontology (GO) analysis for biological processes, cellular components, and molecular functions and conducts pathway enrichment to detect overrepresented pathways among differentially expressed genes.
• Potential Biomarker Identification: Analyzes expression patterns across samples to highlight candidate biomarkers relevant to diagnosis or therapeutic targeting.
• Advanced Statistical Analyses: Provides statistical tools for rigorous analysis of RNA-Seq data to support hypothesis testing and result reliability.

Scientific Applications:

• Interdisciplinary Biomedical Research: Supports gene expression studies across diverse biological and medical domains.
• Immune Cell Comparative Analysis: Identifies enriched pathways and potential biomarkers between different immune cell types.
• Biomarker Discovery and Hypothesis Testing: Facilitates identification of candidate biomarkers and hypothesis-driven exploration of RNA-Seq datasets.

Methodology:

Implemented in the R programming language using the Shiny framework and integrating RNA-Seq data analysis techniques.