Shiny-DEG

Shiny-DEG performs differential gene expression analysis and visualization of RNA-seq data to identify differentially expressed genes in transcriptomic studies.

Key Features:

• Multi-factor experimental design support: Supports multi-factor design experiments and adjustable analysis parameters to model complex experimental factors.
• DEG identification using advanced statistical methods: Integrates advanced statistical methods for detecting differentially expressed genes from RNA-seq data.
• Comprehensive visualization: Provides robust visualization capabilities to explore and present DEGs and expression patterns.

Scientific Applications:

• Transcriptome differential expression: Identifies condition-specific differentially expressed genes for comparative transcriptomic analyses.
• Genomics research: Supports genomic studies that require large-scale gene expression quantification and comparison.
• Molecular biology: Enables investigation of molecular mechanisms through analysis of expression changes at the gene level.
• Personalized medicine: Facilitates analysis of patient-specific transcriptomic differences relevant to precision medicine research.

Methodology:

Integrates advanced statistical methods for differential expression detection and accommodates multi-factor experimental designs, with included visualization of analysis results.