Easy to Get Started
Superior Gene Detection
More genes detected per cell provide comprehensive results over conventional approaches.
Sequencing saturation plot generated from mouse liver samples prepared using Evercode™ WT v2.
Unbiased Gene Expression
Combine previous experimental data with full compatibility of results. We didn’t take any shortcuts or introduce bias when developing the top performing single cell RNA-Seq assay.
PBMC samples from four individual donors were prepared together to illustrate the reproducibility of the assay. The median and distribution of genes is consistent across samples.
Consistent Results Every Time
Improvements in single cell technology have created a more predictable single cell RNA-Seq assay. Reduce sample dropout across samples and sample types - in both the single cell and single nuclei assays.
All Signal, No Noise
Multiplets are a nuisance of single cell RNA-Seq approaches that complicate data analysis. When the cell is the reaction vessel, issues related to multiple cells in a droplet are eliminated and it shows up in data cleanliness.
In a human-mouse species mixing experiment utilizing the WT, we detect only 1.7% multiplets - much lower than droplet-based approaches.
A Simpler Workflow
Through Fixation
Fix cells or nuclei to lock in the biology until your experiment is ready. In timecourse studies, avoid uncertainty and remove batch bias by running samples collected on different days together.
Fixation locks in the biology to provide workflow flexibility. We checked a freshly prepared sample against the same sample stored for 6 months to prove stability of the fixation and reproducibility of the assay (Evercode™ WT v1 results shown).
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).
Combinatorial barcoding finally made it feasible to analyze a large number of samples with low reagent and time costs, and the data quality is top-notch. We used Parse Biosciences' kits to study the effects of BSL-3 pathogens on airway epithelia at single cell resolution. Moreover, Parse provided amazing customer support.
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 a collection of datasets that compare differences between Parse Biosciences v1 and v2 chemistries and Parse Biosciences v2 chemistry and 10x Genomics Single Cell Gene Expression v3.1.
Explore sample data
