CD Genomics RNA Sequencing Platforms

At CD Genomics, we not only offer a wide range of efficient sequencing platforms, but also powerful bioinformatic analysis capabilities that have led to breakthroughs in academic and clinical research. We are committed to empowering RNA research by deciphering the genetic code, including areas such as disease genesis, drug discovery, and biomarker identification.

Below are our commonly used sequencing platforms (including short-read, long-read sequencing and single cell platforms), if you have other needs or questions about our whole platforms, please contact us.


Short-Read Sequencing Platforms

At CD Genomics, we understand the significance of choosing the right sequencing platform for your research needs. Short-read sequencing platforms offer several key advantages, making them highly versatile for a wide range of applications.

Short-read sequencing platforms (especially Illumina) provide a large volume of data, typically yielding an average of 20-30 million reads per sample, quantification of each gene or transcript, and then statistical analysis of differential genes. Many genes with low expression abundance can be sequenced. Single-cell sequencing also mainly adopts short-read sequencing due to the large amount of data.

MiSeq NextSeq 500 NovaSeq 6000 Hiseq X Ten
Platform CD Genomics RNA Sequencing Platforms CD Genomics RNA Sequencing Platforms CD Genomics RNA Sequencing Platforms CD Genomics RNA Sequencing Platforms
Highlights More than 1Gb of data per run Sequencing throughput is at least 4x greater than the MiSeq, making it easy to sequence large-volume data, and long fragment samples Increase your sample volume and coverage by seamlessly mixing and matching four types of flow-through tanks. Process tens of thousands of samples and achieve a minimum 30x coverage for human genome sequencing.
Applications Transcriptome analysis, small RNA sequencing, and metagenome analysis. Experience finer resolution for detecting low abundance species, non-coding RNAs, single-cell sequencing, RNA modifications, liquid biopsy analysis, and comprehensive composition analysis. Scalable and flexible data output, supporting expression profiling, whole genome sequencing (WGS), ultra-deep targeted sequencing, and tumor profiling. Variant detection to facilitate the construction of population-scale reference data.
Run Time 4–24 hours 11-48 h ~13–38 h (dual SP flow cells)
~13–25 h (dual S1 flow cells)
~16–36 h (dual S2 flow cells)
~44 h (dual S4 flow cells)
Maximum Output 7.5 Gb 360 Gb 6000 Gb 1.6–1.8 Tb
Maximum Read Length 2 × 150 bp 2 × 150 bp 2 x 250 bp 2 × 150 bp

Long-Read Sequencing Platforms

Long-read sequencing platforms (including PacBio SMRT and Nanopore sequencing) have this absolute advantage in alternative splicing, gene fusion, RNA methylation and so on.

ONT MinION ONT PromethION PacBio Sequel II
Platforms CD Genomics RNA Sequencing Platforms CD Genomics RNA Sequencing Platforms CD Genomics RNA Sequencing Platforms
  • Direct sequencing of individual molecules without the need for amplification.
  • Overcome issues related to PCR amplification preferences and GC content biases.
  • Navigate seamlessly through regions with abnormal GC content, whether too high or too low, and effectively manage high sequence duplications.
  • Attain complete and uniform sequence coverage, mitigating challenges associated with splicing problems.
  • Full-length Transcript sequencing
  • Characterize alternative splicing
  • Improve the quality and depth of reference genome annotation information.
  • Detect various RNA modifications, including methylation, 5hC, 5hmU, 5hU, 1mA, 6mA, 8oxoA, BPDE, 6mT, 6mG, and more.
Accuracy 96–99% 88–90/99.9% (CCS)
Runtime 10-30 h 72 h
Average Output 5x20 Gb per run 48x50 Gb per run 160 G
Maximum Read Length 10-100 kb, up to 4 Mb 10-15 kb, up to 20 kb

CD Genomics Full-length transcriptome sequencing workflowCD Genomics Full-length transcriptome sequencing workflow

Single-Cell and Spatial Transcriptome Platforms

10X Genomics

10X Genomics use microfluidics, oil droplet encapsulation, and barcode labeling to capture and analyze 500-10,000 single cells at once. This technology is cost-effective, has a short capture time, and is used for cell typing, identifying marker genes, and studying gene expression differences. It's essential in disease, immunity, oncology research, tissue and organ studies, and understanding cell differentiation and developmental trajectories.

Please refer to our Single-Cell RNA-Seq Service.

* For Research Use Only. Not for use in diagnostic procedures.

Research Areas
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