Evercode Whole Transcriptome
WT Mini |10k Cells| 12 Samples
Generate proof-of-concept results for a larger study, grant, or just to try the technology.
WT 100k Cells| 48 Samples
Comprehensive gene profiling across samples, replicates, or timepoints for most studies.
WT Mega 1M Cells | 96 Samples
Expand your science or capabilities by profiling up to one million cells per experiment.
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.
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.
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 split-pool combinatorial barcoding. 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.