DEVEA

DEVEA performs differential expression analysis, data visualization, and enrichment/pathway analysis of transcriptomics (RNA-Seq) data.

Key Features:

• Differential Expression Analysis: Performs statistical identification of genes with significant expression changes between experimental groups using transcriptomics data.
• Data Visualization: Produces plots and tabular summaries for exploration of gene expression profiles and statistical comparisons across conditions.
• Enrichment Pathway Analysis: Conducts enrichment analysis to identify biological pathways associated with differentially expressed genes.
• Flexible Data Input: Accepts transcriptomics datasets and gene lists with or without associated statistical values.
• Comprehensive Reporting: Generates customizable HTML reports that summarize analysis results and outputs.

Scientific Applications:

• Gene expression studies: Analysis of RNA-Seq data to detect expression changes associated with disease states, developmental stages, or environmental responses.

Methodology:

The workflow integrates data input and preprocessing, statistical (differential expression) analysis, enrichment/pathway analysis, and visualization within an R Shiny framework.