EBSEA

EBSEA calculates differential gene expression from RNA-seq by analyzing exon counts within the Bioconductor/R framework to enable exon-level transcriptional analysis.

Key Features:

• Differential Expression Analysis: Performs gene-level differential expression assessment using exon-level counts derived from RNA-seq data.
• Integration with Bioconductor: Operates within the Bioconductor ecosystem and R, ensuring compatibility and interoperability with other Bioconductor packages.
• Open Development and Collaboration: Provided as open-source software to permit community contributions and collaborative development.

Scientific Applications:

• Genomics Research: Enables exon-level investigation of gene expression for genomics studies requiring fine-grained transcriptional resolution.
• Molecular Biology Studies: Supports molecular biology applications such as disease research and developmental biology that depend on differential gene expression analysis.

Methodology:

Analyzes exon counts from RNA-seq data and applies robust statistical methods for differential expression testing within the Bioconductor/R environment.