Bulk RNA-seq Analysis

Uncover genome-wide gene expression patterns and regulatory networks

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500+
Projects Completed
20,000+
Genes Analyzed
98%
Client Satisfaction

What We Do

Comprehensive RNA-seq Analysis

We provide comprehensive bulk RNA-seq analysis services from quality control of raw reads to identification of differentially expressed genes, pathway enrichment analysis, and publication-ready visualizations. Our expert team ensures rigorous statistical analysis and biological interpretation.

When to Use Bulk RNA-seq:

Comparing gene expression between experimental conditions
Identifying disease biomarkers
Understanding drug response mechanisms
Studying developmental processes
Investigating environmental effects on gene expression

📦 Deliverables

  • Quality control reports (FastQC, MultiQC)
  • Gene expression matrix (counts and TPM)
  • Differential expression results with statistical metrics
  • Functional enrichment analysis (GO, KEGG, Reactome)
  • Publication-quality figures (PCA, heatmaps, volcano plots)
  • Comprehensive analysis report with biological interpretation

Our Process

Bulk RNA-seq Analysis Workflow

From raw reads to biological insights in 6 comprehensive steps. Click on any step to view details.

Best Practices

Ensuring High-Quality Results

We follow industry best practices to ensure your RNA-seq data is analyzed with the highest rigor.

1

Biological Replicates

Use at least 3 biological replicates per condition for robust statistical power.

2

Sequencing Depth

Aim for 20-30 million reads per sample for standard mRNA profiling.

3

Batch Effects

Randomize sample processing and include batch information in the experimental design.

4

Gene Filtering

Remove lowly expressed genes (< 10 reads across all samples) to improve statistical power.

5

Multiple Testing Correction

Use FDR (Benjamini-Hochberg) to control for false discoveries in differential expression.

Applications

Real-World Use Cases

Drug discoveryMechanism of action

Drug Response Profiling

Identify transcriptomic signatures of drug-treated cells to understand mechanisms of action.

Sector: pharma
BiomarkersDiagnostics

Disease Biomarker Discovery

Compare diseased vs. healthy tissue to identify diagnostic or prognostic markers.

Sector: healthcare
Stress responseCrop improvement

Crop Stress Response

Understand plant gene expression under various environmental stresses.

Sector: agriculture

💰 Pricing & Timeline

Pricing varies based on number of samples, sequencing depth, and analysis complexity. Contact us for a detailed quote.

Estimated Timeline: 2-4 weeks from data receipt to final report

Ready to Analyze Your RNA-seq Data?

Get in touch with our team to discuss your transcriptomics project. We offer free consultations to help design the optimal analysis strategy.