Service Description:
Traditional RNA-Seq methods analyzed RNA from an entire population of cells, but only yielded a bulk average of the measurement instead of representing each individual cell's transcriptome. By analyzing the transcriptome of a single cell at a time, the heterogeneity of a sample is captured and resolved to the fundamental unit of living organisms-the cell.
Single cell Seq allows us to analyze the complexity of biological systems, both within a population and over time, at the single-cell level. It has enabled a detailed and unbiased look at the dynamic process in all its forms.
Omics Drive Single-Cell RNA-Seq utilizes the latest technology on the market: the 10x
Genomics瓹hromium� system and Illumina� NovaSeq� 6000. As an early adopter of these platforms, our optimized workflows maximize project flexibility, speed, and data accuracy.
For bulk expression analysis of samples with picograms of RNA or just a few cells, use our Ultra-Low Input RNA-Seq service.
Bioinformatic Analysis:
Demultiplexes raw base call (BCL) files
Erforms alignment, filtering, barcode counting, and UMI counting.
Perform clustering and gene expression analysis.
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(More upon request)
Pls contact us for more solutions on 10x Genomics瓹hromium� system, we also offer
Single Cell Transcriptomics
Single Cell Genomics
Single Cell Eptigenomics