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