Catharine.Aquino
banner
catharineaquino.bsky.social
Catharine.Aquino
@catharineaquino.bsky.social
Genomics plus anything else I find interesting. 🇨🇭🇵🇭 Opinions are my own and do not represent my employer.
PS. We really do receive your samples with a smile, especially if they’re properly labeled 😀
August 5, 2025 at 3:07 PM
The novaseqx? 😇
July 31, 2025 at 3:43 PM
Because our resources are limited. We can’t afford to offer a protocol without an added value to our portfolio hence the benchmarking before offering it.
July 28, 2025 at 10:58 AM
Verdict:
If your study hinges on squeezing out every cell, go with GEMX. But if you are balancing budget and performance, PIPseq might be something to consider. We now added PIPseq to our services.
July 27, 2025 at 7:07 PM
Bottom line
GEMX has the edge in cell detection, but PIPseq performs respectably at roughly half the price. For many experiments, that trade off could be worth it.
July 27, 2025 at 7:07 PM
Gene Expression
Very close. Both platforms delivered comparable gene detection per cell and high transcriptome mapping rates. Both platforms found the same cell types.
July 27, 2025 at 7:07 PM
Cell Detection
GEMX detected significantly more cells (24,339 vs 15,324) average cells using Empty Drops on all samples for fair cell calling comparison, indicating higher sensitivity in cell calling.
July 27, 2025 at 7:07 PM
I didn’t dare try to go!
June 3, 2025 at 8:32 PM
Thanks! I didn’t realize I copied the link from linkedin when I copied the post .
May 28, 2025 at 6:16 PM