Transcriptome Visualization
Global Expression Profiling

RNA-Seq
Transcriptome Insights

Map the dynamic state of the cell. Precision quantification of gene expression, alternative splicing, and novel transcript discovery.

Differential ExpressionReference: Ensembl v110

Transcriptome Intelligence

Choose the molecular strategy that fits your research goals. From targeted mRNA to the full spectrum of non-coding noise.

mRNA-Seq (PolyA)

Focusing exclusively on the coding transcriptome by enriching for transcripts with polyadenylated tails.

Total RNA-Seq

Ribosomal RNA depletion to capture both coding (mRNA) and non-coding RNAs (lncRNA, snoRNA).

Small RNA-Seq

Targeting microRNAs and other small RNAs (<200nt) involved in gene regulation and silencing.

10^5+
Dynamic Range
Vastly superior to microarray sensitivity.
Single-Base
Resolution
Precise splice junction identification.
Q30 >85%
Quality
Strict data integrity benchmarks.
n ≥ 3
Replicates
Recommended for valid DGE stats.

Expression
Gold Standards

Our RNA-Seq pipelines are optimized for high sensitivity and wide dynamic range. By utilizing stranded library prep and deep sequencing, we capture rare transcripts that microarrays miss.

  • Stranded (Sense-Specific) Library Protocol
  • Detection of novel splice junctions & fusions
  • High-confidence quantification of low-abundance genes
  • Comprehensive pathway & network analysis

From Discovery to Validation

RNA-Seq is the workhorse of modern biology. Whether you are performing biomarker discovery in oncology or investigating plant stress responses, our data provides actionable biological insights.

Differential Expression

Robust statistical modeling to find genes shifting across experimental conditions.

Isoform Characterization

Resolving the complexity of alternative splicing and transcript diversity.

Gene Research

The RNA Command

1

Purification

rRNA depletion or PolyA selection

2

Library Prep

Stranded cDNA synthesis

3

Sequencing

Illumina depth-optimized

4

Bioinformatics

DGE, Pathway, & Splicing

Technical FAQ

For reliable Differential Gene Expression (DGE) analysis, a minimum of 3 biological replicates per condition is standard. This allow algorithms to calculate variance and produce statistically valid p-values.

Decode the Dynamic State.

Don't just count reads. Gain deep regulatory insights with our multi-dimensional RNA-Seq pipelines.

GENOMIC_WGS_VIEW
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