- Guaranteed ≥90% of bases with quality score of ≥Q20
- DNBSEQ PE100 or Illumina PE150 options
- Raw data and bioinformatics analysis are available in standard file formats
Cell populations are heterogeneous and unsynchronized in their characteristics. Traditional bulk RNA sequencing generates comprehensive information but does not provide insight into variable expression between cells. 10X Genomics Chromium Single Cell 3′ RNA-seq provides a scalable solution for cell characterization and gene expression profiling of hundreds to millions of cells. 10X Genomics technology is able to handle a large quantity of single cells fast and accurately, providing research solutions across a wide variety of applications including cancer, neurology, and immunology.
BGI’s Single Cell Sequencing service is typically executed with our proprietary DNBseq™ NGS technology platform, for great sequencing data at the lowest cost in the industry.
DNBSEQ™ is BGI’s proprietary sequencing technology, developed by our Complete Genomics subsidiary in Silicon Valley. This system is powered by combinatorial Probe-Anchor Synthesis (cPAS), linear isothermal Rolling-Circle Replication and DNA Nanoballs (DNB™) technology, followed by high-resolution digital imaging.
The major applications of single cell sequencing include:
We care for your samples from the start through to the result reporting. Highly experienced laboratory professionals follow strict quality procedures to ensure the integrity of your results.
BGI's 10X Genomics Single Cell Sequencing services are performed on our DNBSEQ technology platform:
In addition to raw data output, BGI offers a range of standard and customized bioinformatics pipelines for your single cell sequencing project.
Reads extraction: Extract cell-barcodes and UMIs from reads
Reads alignment: Align short reads to reference genome and transcriptome
UMI counting: Form a raw-gene-barcode matrix according to UMI number
Barcoding filtering: Filter those barcodes not from cellular GEM
Matrix formation: Form filtered gene-barcode matrix
PCA de-dimension: Main component analysis (keep most highly variable components)
Clustering: Graph-based clustering on PCA analysis
Clustering: Kmeans clustering on PCA analysis
T-SNE de-dimension: Visualize PCA result in 2D dimension by t-SNE de-dimension
DEG analysis: Identify the most significant differential expression gene in each cluster
Generate report: Generate a report in CSV and HTML format
Further customization of bioinformatics analysis to suit your unique project is available: Please contact your BGI technical representative