Bulk RNA-Sequencing & Differential Gene Expression (DGE) Analysis
Decode transcriptomic landscapes with our advanced Bulk RNA-Seq analysis platform. Dawn of Bioinformatics Ltd. processes raw sequencing data through a validated, multi-step workflow including quality-controlled read alignment, transcript assembly, expression quantification, and differential expression analysis.
Our pipeline supports multiple analytical strategies, including alignment-based (HISAT2, STAR) and alignment-free (Salmon) approaches, followed by transcript reconstruction (StringTie) or count-based quantification (HTSeq). Differential expression is performed using industry-standard statistical frameworks such as DESeq2 and Ballgown, enabling reliable identification of significantly upregulated and downregulated genes.
This integrated approach enhances data accuracy, minimizes technical bias, and supports downstream biological interpretation, including biomarker discovery and pathway analysis.
Overview
Dawn of Bioinformatics Ltd. delivers comprehensive Bulk RNA-Sequencing (RNA-Seq) and Differential Gene Expression (DGE) analysis services to uncover transcriptional changes and molecular signatures underlying biological conditions. Our DawniLab experts implement robust, end-to-end computational pipelines from raw sequencing data processing to statistically rigorous differential expression analysis which ensuring high accuracy, reproducibility, and biological relevance. By integrating advanced alignment, quantification, and statistical modeling approaches, we provide actionable insights into gene regulation, pathway dynamics, and disease mechanisms.
Key Features
• Quality control and preprocessing of raw sequencing data.
• High-performance read alignment and quasi-mapping.
• Transcript assembly and expression quantification.
• Gene-level count generation.
• Differential expression analysis and identification of significantly differentially expressed genes (DEGs).
• Support for multiple pipeline strategies (alignment-based & count-based workflows).
• Publication-ready visualizations (volcano plots, heatmaps, PCA).
Demo & Results
More Transcriptomics
- Bulk RNA-Sequencing & Differential Gene Expression (DGE) Analysis
- Single-Cell RNA-Seq (scRNA-Seq) Data Analysis
- Spatial Differential Gene Expression Analysis
- Weighted Gene Co-expression Network Analysis (WGCNA) & Hub Gene Discovery
- Non-Coding RNA Regulatory Network Analysis
- Time-Series Transcriptomics & Clinical Biomarker Profiling