Harness the Power of Evercode™ Combinatorial Barcoding
Talk to a Single Cell Specialist
The Cell is the
Reaction Vessel
Combinatorial barcoding happens within cells themselves – resulting in extraordinary specificity and scalability.
The Next Evolution of Single Cell RNA-Seq
Fix Now, Run Later
No Instrument Required
Reverse Transcription
Split | Samples are distributed into wells and the first, sample-specific barcodes are applied to fixed cells or nuclei with an in-cell reverse transcription (RT) reaction.
Pool | Cells from each well are pooled together.
Ligation
Split | Cells or nuclei are distributed across a plate and an in-cell ligation appends the second barcode.
Pool | Cells from each well are pooled together.
Ligation
Split | A third barcode is applied with another in-cell ligation after the cells or nuclei are split across a plate.
Pool | Cells from each well are pooled together.
Lysis + PCR
Split | The pooled cells are divided across several sublibraries. The cells are lysed and the fourth, sublibrary-specific barcode is applied by PCR.
Library Prep
Split | The library preparation appends adapters ready for loading on any Illumina sequencer.
Unmatched Sensitivity at Any Scale
We've tested Evercode™ combinatorial barcoding technology in multiple cell types and always outperform the leading droplet-based technology - up to half the sequencing required for the same number of detected genes (Evercode™ WT v1 results shown).
Insights Included
Our data analysis package transforms sequencing output into understandable results, enabling the ability to assess data quality, identify sample differences, and interrogate genes of interest. Each analysis provides an interactive web report allowing for anyone to easily browse the data — in addition to more detailed files that allow for more complex downstream analysis.
Compatible with any NGS Sequencer
Starting from FASTQ, the included data analysis pipeline performs several data quality checks and sequencing error corrections. A rigorous computational biology approach maps results back to individual cells, performs cell clustering, and calculates differential expression to inform experimental insights.
Seamless Integration with 3rd Party Tools
Many biological experiments require specialized bioinformatic analysis or integration with an existing toolset for compatibility and comparison with previous results. We provide tutorials in our support area for integrating the output gene count matrix files with third-party tools to facilitate research in your platform of preference.
Interactive Results
The data analysis pipeline translates the sequencing outputs into a report for experiment QC or deep biological exploration. We’ve worked with leaders in the field to present the most informative summary statistics: cell coverage and sequencing depth, a cell cutoff graph, and sequencing saturation curves. When it’s time to dive deeper, differential expression results can be mined alongside an interactive UMAP for rapid investigation of genes of interest.
