DEvis

DEvis aggregates and visualizes differential expression results from transcriptomic analyses to support interpretation of multi-contrast experiments.

Key Features:

• Implementation: DEvis is implemented as an R package.
• Integrated functionality: Consolidates discrete functions for data manipulation, analysis, and interpretation of differential expression results.
• Multiple-contrast aggregation: Supports aggregation and integration of multiple contrast differential expression results.
• Result sorting and selection: Provides capabilities for sorting and selecting aggregated differential expression results.
• Visualization: Offers a comprehensive suite of visualization options for exploration and presentation of differential expression results.
• Project management and reproducibility: Incorporates automatic project management features that standardize analysis workflows for reproducibility and consistency.
• Scalability: Handles large and complex transcriptomic experiments efficiently.

Scientific Applications:

• Genomics: Supports differential expression analyses in genomics studies.
• Molecular biology: Facilitates transcriptomic analyses in molecular biology experiments.
• Bioinformatics: Serves bioinformatics workflows for aggregation and visualization of differential expression data.
• Gene expression profiling: Enables basic research exploring gene expression patterns.
• Disease mechanism and therapeutic target studies: Supports investigations into disease mechanisms and identification of therapeutic targets.

Methodology:

Aggregation and visualization of differential expression data from transcriptomic analyses; multiple-contrast aggregation and integration; result sorting and selection; generation of visualizations; and automatic project management to standardize analysis workflows.