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RNA-Seq analysis
Expert-led transcriptomic analysis — high-fidelity gene expression profiling and deep functional annotation with industry-leading turnaround, managed directly by the computational team.
0–10 days
analysis package turnaround
STAR
high-speed alignment
DESeq2 / EdgeR
differential expression
Any species
custom reference support
Scalable bioinformatics solutions
From rapid automated quantification to a dedicated bioinformatician, tiered models turn transcriptomic data — high-yield, clinical FFPE or ultra-low input — into high-confidence, publication-ready insight.
Rapid, automated secondary analysis for high-volume gene expression studies.
Best for high-throughput screening and standard differential expression projects.
Request this serviceDeep-dive transcriptomic profiling for complex research landscapes.
Best for mechanism-of-action studies, biomarker discovery and clinical translational research.
Request this serviceTailored bioinformatics workflows built around your specific project parameters.
Best for specialized study designs, unique species and complex genomic data integration.
Request this serviceDedicated computational expert support for data-intensive, long-term programs.
Best for pharma and biotech teams needing scalable capacity without the overhead of new hires.
Request this serviceThe Gateway advantage
Industry-standard STAR and DESeq2/EdgeR workflows meet the highest bar for peer-reviewed publication.
Standard mRNA, target-depleted total RNA, FFPE and specialized small-RNA preps — all kits and strand-specificity needs supported.
Every gene enriched with biological context using Ensembl, RefSeq and specialized databases.
Beyond raw counts — pathway enrichment (GSEA) and custom reports with heatmaps, volcano plots and PCA clustering.
Optional services merge transcriptomic data with proteomics, epigenetics or single-cell datasets.
All primary and secondary data — FASTQ, aligned BAM, raw and normalized count matrices — plus publication-ready reports.
Work directly with the computational team to refine parameters or customize figures for specific journals.
Analysis workflow
Step 1
Define analysis goals — from standard DGE to isoform-level mechanistic studies.
Step 2
Transfer FASTQ or BAM via secure SFTP — sequencing provider agnostic.
Step 3
FastQC and MultiQC evaluate depth, base quality and adapter contamination before analysis.
Step 4
STAR alignment, quantification, DGE and pathway enrichment per package.
Step 5
Full data package plus a detailed PDF report with publication-ready figures.
Beyond the FASTQ
A comprehensive package — raw FASTQ, aligned BAM files, raw and normalized count matrices, and a detailed report with publication-ready figures.
Deliverables include
Volcano plots
Tumor microenvironment analysis
Gene networks
Dot plots
Volcano plots
Tumor microenvironment analysis
Gene networks
Dot plots
Alignment stats
PCA plots
Correlation plots
Heatmaps
Alignment stats
PCA plots
Correlation plots
Heatmaps
Figures & files delivered with every project — hover to pause
Applications
Quantify transcriptional changes across experimental conditions or drug treatments.
Characterize alternative splicing events and transcript-level variation.
Identify unique gene signatures associated with disease states or therapeutic response.
Map expression data to biological pathways to uncover systemic insights.
Extract robust signals from precious clinical specimens and FACS-sorted populations.
FAQs
Resources & insights
Explore related analysis services
Partner with the network for end-to-end RNA sequencing and bioinformatics.
Share your samples and goals — a doctoral-level scientist responds within one business day with a study plan and competing blind quotes.
Administered by Syntax of Life Private Limited
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