Transcriptome Analysis (RNA-Seq)
Decode gene expression dynamics. We map the functional state of cells through rigorous statistical modeling, Differential Gene Expression (DGE), and AI-driven pathway interpretation.
Final Outputs
Normalized TPM/FPKM
Comprehensive DGE Excel
High-Res Volcano & MA Plots
Clustered Heatmaps
GO/KEGG Bubble Charts
WGCNA Network Plots
Get Started with Transcriptome Analysis
Accelerate your transcriptomics research with our highly accurate RNA-Seq pipelines.
Technical Specification & Platforms
Short-Read Platforms
Illumina (NextSeq 2000, NovaSeq X), MGI (DNBSEQ-G400), AVITI, Thermo Ion GeneStudio. Best for robust DGE.
Long-Read Platforms
PacBio (Iso-Seq), Oxford Nanopore (Direct RNA-Seq). Best for full-length isoform discovery.
AI Advantage
We utilize Predictive ML models for biomarker classification and LLM-driven synthesis to summarize complex biological pathways from highly enriched gene modules.
Requirements & Pipeline
Data & Quality Requirements
• Format: De-multiplexed FASTQ with MD5 checksums • Read Depth: 20-30 Million Reads/Sample (Eukaryotic), 5-10M (Microbial) • Quality Metric: Q30 > 85% • Sample Integrity: RNA Integrity Number (RIN) > 7.0 (via Agilent 2100)
Pipeline Tools
Alignment & Quant: STAR, HISAT2, Salmon, featureCounts Statistical DGE: DESeq2, edgeR, limma-voom Functional Mapping: clusterProfiler, g:Profiler, STRING
Commercials & Data Deliverables
Standard DGE Analysis
₹8,000 - ₹15,000 / Sample Turnaround: 14 Days
Advanced (Iso-Seq/Long Read)
₹10,000 - ₹18,000 / Sample Turnaround: 21 Days
Core Analyses
- 1. Differential Gene Expression (DGE) Identifying statistically significant Up-regulated and Down-regulated genes across biological conditions, time-series, or developmental stages.
- 2. Functional Enrichment & Pathways Contextualizing DGE results against Gene Ontology (GO), KEGG, and Reactome databases to highlight altered systemic biological pathways.
- 3. Advanced Structural Analysis Alternative splicing detection, novel transcript discovery, and Gene Co-expression Network Analysis (WGCNA).
Application Areas
Microbial: Response to stress, antibiotic resistance gene expression, and Dual RNA-Seq.
Plant: Abiotic/biotic stress responses, crop yield traits, and developmental tissues.
Animal & Human: Biomarker discovery, cancer transcriptomics, immunology profiling, and toxicology.