Our latest study presents open access RNA-seq data from cell lines from 731 people from 26 globally diverse populations, addressing a persistent ancestry bias in our field. We hope this resource enables more equitable advances in personalized medicine. https://t.co/nDRpSX0lKL
@aaronquinlan I saw one of these in the wild a couple weeks ago, a guy scooting around the lake. Slowly. I thought it was some kind of homemade contraption (not necessarily surprising here) 🤣
Great that we're starting to see some data comparing these platforms head-to-head. And kudos to those making the data public. I think we do a disservice trying to boil the comparison down to a couple summary metrics. Eg. dove into this breast cancer data for an hour 1/n
Want to analyze Seurat data without code? Use the new @10xGenomics LoupeR package to
move your data into the new Loupe 7. It sports a redesigned UI, and includes new features that put publication-ready figures just a few clicks away!
#genomics#singlecell
It's been incredible to watch the @10xGenomics team bring this to fruition! Such a gorgeous dataset, I'm excited to see how the science community uses Xenium and the new Mouse Tissue Atlasing Panel to make new discoveries.
Biology is beautiful—and Xenium proves it by bringing it to life with the new Mouse Tissue Atlasing Panel. Learn how #singlecellspatial imaging can help you uncover the splendor of your sample here: https://t.co/tJ4IBtvlbK
🎉Exciting Update of scGPT 🎉: After receiving significant attention from the community since our April release, we're thrilled to announce the first major update for scGPT - a foundation model for single-cell multi-omic data.
This update integrates community feedback and leverages the latest data release from @cellxgene. It boasts larger pretraining data, and more robust models, and expands the range of application tasks.
Pre-print (V2) available: https://t.co/4aB2c4ZgJy
Access our open-source code and models here: https://t.co/13n0bJvgT2
Detailed tutorials: https://t.co/enNqXqXkdY
Highlights of this update include:
🔬 Introducing the first GPT-style foundation model for single-cell multi-omic data, pretrained on over 33M human cell atlas data.
💡 Our generalist approach enables one model to accomplish multiple tasks in single-cell analysis, including multi-omic integrative analysis and perturbation prediction.
🧬 Discovering gene-gene interactions specific to various conditions using learned attention weights and gene embeddings.
🚀 Uncovered a scaling law showcasing continuous model performance enhancement as data volume increases.
🐾 scGPT model zoo (see github) now offers multiple pre-trained foundation models for various solid organs and a comprehensive pan-cancer model. Begin exploring your data with the most fitting foundation model.
We welcome your thoughts on specialist vs generalist approaches in single-cell studies. Many thanks for the following technical analyses of scGPT:
1. Excellent twittorial by @simocristea: https://t.co/ICq3V78oxG
2. Comprehensive review on LLM in cell biology by @s_batzoglou: https://t.co/xtl5WCXijC
3. Insightful blog by @SalvatoreRaieli: https://t.co/7v8PRv9NNc
Kudos to Haotian (@HAOTIANCUI1) & Chloe (@chloexwang1) for their exemplary work on this project. @VectorInst@pmcc_ai@UHNAIHUB@bradwouters@drbarryrubin@UofT_TCAIREM@UofT_LMP@UofTCompSci@uoftmedicine
This #InternationalWomensDay we highlight a few women here at 10x Genomics who are integral to our success. They told us what drove them to pursue a career in science👇
Nice article from @JulieCKiefer !!! Thank you. Random Allelic Expression of Genes Could Complicate Disease, Diagnosis | University of Utah Health | University of Utah Health https://t.co/3vSMdK19Co
As for life updates, it has been a whirlwind last few months. In September, I finished my PhD 🎓 In October, I started my dream job with @10xGenomics 🔬 and in Jan I moved to the Bay Area! 🌉 It's all been a bit scary and overwhelming, but I'm grateful to be here for the ride :)
I am emerging from my Twitter hiatus with some very exciting life/science updates! 1) The culmination of my thesis work is finally out in @CellReports https://t.co/Y1daHPzKzA
Amanda Janesick from @10xGenomics on high resolution mapping of the breast cancer tumor microenvironment using integrated single-cell, spatial and in-situ analysis of FFPE tissue #AGBT23
Big thank you to all of the colleagues who shared their cool papers and findings on allelic expression and gene noise with me by email after seeing @snkravitz new paper. Please keep them coming. I love seeing your cool science and ideas. https://t.co/zKDITjUI54
Start exploring our three worlds of research possibilities. Meet us tomorrow morning in Room 216, and follow our live tweets for up-to-the-moment news on AGBT. #AGBT23
I am emerging from my Twitter hiatus with some very exciting life/science updates! 1) The culmination of my thesis work is finally out in @CellReports https://t.co/Y1daHPzKzA