Get Started with Single Cell RNA-Seq
No Instrument Required
Evercode combinatorial barcoding is performed on your lab bench – all that’s needed are a centrifuge, thermal cycler, and some pipettes. The single cell or single nuclei libraries are immediately ready for sequencing.
Consistent Data Quality
Experience high gene detection and uniform results at every scale. From a pilot to a single cell atlas experiment - data quality is never compromised.
In a human-mouse species mixing experiment utilizing the WT Mini, we detect only 2.3% multiplets - much lower than droplet-based approaches.
Single Cell Genomics – Cells and Nuclei
Difficult samples or complex research questions often require a single nuclei approach. The Evercode technology works with both single nuclei sequencing (snRNA-Seq) and single cell sequencing (scRNA-Seq) with the capability to do both in the same experiment.
As experiments scale, your data quality is unchanged within the Evercode line.
Unmatched Gene Detection
More genes and transcripts detected per cell provide comprehensive results over conventional approaches.
From Bench to Insight
The Evercode Whole Transcriptome technology provides the reagents, software, and accessibility to pursue difficult research questions. This approach first fixes a single cell or nuclei suspension. Once fixed, the barcoding and library prep process outputs libraries ready for any Illumina sequencer. Following sequencing, our software converts data into single cell insights.Fixation
Lock in gene expression immediately after sample collection with a rapid fixation protocol. After fixation, samples can be stored for up to 6 months or proceed directly to barcoding.
Barcoding & Library Prep
Append barcodes to each transcript by progressing cells through four split-pool combinatorial barcoding steps. The kit proceeds to a standard library preparation to generate sequencing-ready molecules.Sequencing
The resulting libraries are sequenced by NGS.Data Analysis
Our computational pipeline generates an interactive report for rapid insights. All output data files, including gene-cell count matrix, integrate seamlessly with existing open source tools such as Seurat or Scanpy.
Get the Brochure
Read more about the technology with a deeper dive into the technical details.
Download brochureExplore the Sample Data
Review the Evercode Whole Transcriptome data from a species mixing experiment, immune profiling in PBMCs, or nuclei from embryonic mouse brain.
Explore sample data