Parse Biosciences - Scalable Single Cell Sequencing

Customer Study

Parse Biosciences vs. 10x Genomics™
Superior scRNA-Seq outcome on a challenging sample

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Highlights from the webinar

Superior molecular efficiency of Parse Evercode v2

[8:38] Downsampled reads from the Parse Evercode v2 data to the same reads per cell as 10x Genomics Chromium™ 3' v3.1
Cell calling from droplets overestimated cell numbers


[1:04] Data shows that 10x Genomics Cell Ranger's automatic droplet detection struggles to identify the cells from the background and overestimates the number of cells due to ambient RNA. 

High sensitivity from Parse Evercode v2


[4:31] This slide shows the summary data showing the high sensitivity of Parse Evercode v2 compared to 10x Genomics Chromium™.

An independent researcher delves into details of Sample Multiplexing Reagents for Single Cell RNA-Seq. Explore his firsthand journey examining the risks and rewards of using different scRNA-Seq technologies with challenging samples.

What you'll find in this video:

  • Dealing with delicate samples for single cell research.
  • Potential risks for multiplexing high-scale projects.
  • Objective evaluation of single cell technology pros and cons.


To read more about the study, see the publication titled "A risk-reward examination of sample multiplexing reagents for single cell RNA-Seq" by Brown et al.

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Speaker

Daniel Brown

Daniel Brown

Genomics Laboratory - WEHI
Research Officer