AVAILABLE PRODUCTS

RNA-Seq Services

Standard and Express RNA-Seq Services

We offer two RNA sequencing options to fit your project's needs:

Our standard RNA-Seq service uses an Illumina-based method suitable for both mRNA and ribo-depletion (non-coding RNA, and others) analysis, making it ideal for projects requiring complex customization.

Express RNA-Seq, designed for mRNA profiling, provides the same high-quality data in a fraction of the time. The standard RNA-Seq delivers 20 million reads with 150 PE, while Express RNA-Seq provides 15–20 million reads with 50 PE. Both services include comprehensive bioinformatics analysis.

Feature Standard RNA-Seq Express RNA-Seq
Input Requirements 1 µg total RNA recommended (minimum 300 ng) or 100,000 mammalian cells recommended (minimum 20,000–30,000 cells). 1 µg total RNA recommended (minimum 300 ng) or 100,000 mammalian cells recommended (minimum 20,000–30,000 cells).
RNA enrichment Strategy Supports poly(A) enrichment or rRNA depletion, enabling detection of coding and non-coding RNAs (e.g., lncRNAs, non-polyadenylated transcripts) Poly(A) enrichment workflow optimized for rapid mRNA profiling
Library Preparation Illumina-based method Streamlined tagmentation-based library preparation for faster processing
Read Configuration 20 million reads, paired-end 150 bp (PE150) 15–20 million reads, paired-end 50 bp (PE50)
Turnaround Time Typically 4–6 weeks 4 weeks
Best For Flexible, high-quality transcriptome analysis tailored to diverse experimental needs Fast, high-quality transcriptome analysis with accelerated turnaround times
Bioinformatics Comprehensive analysis and detailed reporting included Comprehensive analysis and detailed reporting included
Cost Standard market pricing Cost-effective option for time-sensitive projects
RNA-Seq Service
RNA-Seq Service

Next-generation sequencing based gene expression profiles. RNA isolation from cells and tissues, to comprehensive data analysis and bioinformatics.

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Express RNA-Seq Services
Express RNA-Seq Services

Fast transcriptome sequencing using tagmentation technology

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