Announcing full support for Fluent Biosciences single-cell kits on LatchBio 🧬
Over the past 6+ months, we’ve partnered with the Fluent team to empower their customers to self-serve data analysis for all single-cell kits, proving out:
2k cells
10k cells
20k cells
100k cells
1000k cells
In our largest experiment, a Morris Lab PhD candidate at Washington University, St. Louis ran 1 million+ cell sequencing for cellular reprogramming. This involved processing 7 billion reads in under 72 hours on latch 🤯 (more on this soon...)
Scientists are seeing a decrease in time to insight and processing costs of up to 80-95% across all kit sizes. And wet lab biologists are actually able to use it. :)
Today, anyone can run PIP-Seq analysis in a way that is easy to use and requires no coding. See the link and case studies in the comments below 👇
We’re excited to continue supporting Fluent as they pioneer single-cell biology at Illimuna.
Thank you for continuous support from Fluent BioSciences Inc., Kristina Fontanez, Sadie VanHorn, Yigal Agam, Aaron May-Zhang, PhD, Robert Meltzer, Jessie Matakis, Rahul Desai, Kenny Workman, Emma Krivoshein, and Aidan Abdulali. All of your involvement, development, and feedback made this possible.
We're committed to continue driving down costs and making single cell biology - and bioinformatics - scalable and accessible to everyone.
Update: We have taken down the model per their request. We also apologize to their team for our misunderstanding that we could host this if it was exclusively for free academic use.