3D RNA-seq

3D RNA-seq performs integrated RNA sequencing (RNA-seq) analyses to detect differential gene expression, alternative splicing, and differential transcript usage.

Key Features:

• Integrated 3D RNA-seq Analysis: Simultaneously analyzes differential gene expression, alternative splicing, and differential transcript usage from RNA-seq datasets.
• Complex Experimental Design Support: Enables analysis of RNA-seq experiments with customizable statistical parameters and complex experimental designs.
• Transcript- and Gene-Level Analysis: Identifies regulatory changes at both gene and transcript resolution.
• Data Visualization and Reporting: Generates graphical outputs including heat maps, expression profiles, and Gene Ontology (GO) enrichment plots for RNA-seq data interpretation.

Scientific Applications:

• Transcriptome Profiling: Detects gene expression changes and transcript-level regulation in RNA-seq experiments.
• Alternative Splicing Analysis: Identifies differential splicing patterns across biological conditions.
• Functional Genomics Studies: Supports investigation of transcriptional responses across experimental treatments, tissues, or time-series datasets.

Methodology:

The method integrates RNA-seq analytical procedures for differential gene expression, alternative splicing, and differential transcript usage within a unified computational framework to analyze transcriptome sequencing datasets.