YUHAN HAO retweeted
Interested in single cell genomics but need help getting started? Check out the full agenda for our Single Cell Genomics Day on Friday 4/25. All talks will be live-streamed (no registration required) at satijalab.org/scgd25
YUHAN HAO retweeted
We release 300 million single cells (and counting) for virtual cell modeling, our first AI agent work @arcinstitute, and 100 million perturbed cells with @vevo_ai
This is the largest repository available, open source, and hopefully an ImageNet for cell biology
Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, @vevo_ai has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re announcing scBaseCamp, the first RNA sequencing data repository curated using AI agents. Combined, the release includes data from over 300 million cells.
arcinstitute.org/news/news/a…
YUHAN HAO retweeted
We trained a genomic language model on all observed evolution, which we are calling Evo 2.
The model achieves an unprecedented breadth in capabilities, enabling prediction and design tasks from molecular to genome scale and across all three domains of life.
YUHAN HAO retweeted
Want to hear about the latest updates/new techniques in single cell and spatial genomics? Check out the full agenda for our Single Cell Genomics Day on Friday, 3/29. All talks will be live-streamed (no registration required) at satijalab.org/scgd
YUHAN HAO retweeted
In some new work (the first from the new lab!), we lay out a vision for a biological foundation model that unites DNA, RNA, and protein modalities and operates at molecular, systems, and genome levels of scale.
Blog: arcinstitute.org/news/blog/e…
Preprint: arcinstitute.org/manuscripts…
YUHAN HAO retweeted
This is the recording of a public talk I gave in the Copenhagen Koncerthuset. It was an amazing experience to talk to a sold out concert hall before an audience of >1000 or so. Thanks to Jacome Armas for making this possible.
youtube.com/watch?v=6FZ12DuO…
YUHAN HAO retweeted
How does aging impact the proliferation and differentiation rates across diverse cell types in the brain? Explore this question with TrackerSci in @CellCellPress: shorturl.at/kzCDJ. Kudos to the incredible @ziyu__lu and Melissa Zhang of our lab @RockefellerUniv!
YUHAN HAO retweeted
Some big news: I’m absolutely delighted to announce that I will be starting my group this fall in the Computational and Systems Biology Program at @MSKCancerCenter in New York City! clareaulab.com/ 1/
YUHAN HAO retweeted
I'm excited to share our publication of Stabilized mosaic single-cell data integration using unshared features 🎉
This was one of my final projects during my postdoc @CRUK_CI @emblebi and I'm immensely grateful to @MarioniLab & Carolina Guibentif for their efforts and support!
Stabilized mosaic single-cell data integration using unshared features go.nature.com/45w3nVd
YUHAN HAO retweeted
Prof. Gil Strang's last lecture is ... Monday! Watch it via live stream: grinfeld.org/strang/
YUHAN HAO retweeted
🦓 Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in @Nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science.
📝 doi.org/10.1038/s41586-023-0…
💻github.com/AdaptiveMotorCont…
🦓 cebra.ai/
🧵⬇️
YUHAN HAO retweeted
Thrilled to share our #bioinformatics tool for aligning #spatialtranscriptomics data using #LDDMM across technologies, partial matched tissues, to 3D atlas
📰 biorxiv.org/content/10.1101/…
🖥️ github.com/JEFworks-Lab/STal… #Python
Congrats @kalen_clifton @manjari_017 w/ collab @UCLA @JHUBME
YUHAN HAO retweeted
Our webinar to introduce and release Seurat v5 is tomorrow at 12PM ET! Sign up to learn more about new methods for spatial, multimodal, and highly scalable analysis.
We've been working on Seurat v5 for two years and are excited to share it with you soon!
In a webinar w/@10xGenomics and @ScienceMagazine on 3/29, I'll introduce new methods to analyze spatial/multimodal datasets that scale to tens of millions of cells: view6.workcast.net/register?…
YUHAN HAO retweeted
We've been working on Seurat v5 for two years and are excited to share it with you soon!
In a webinar w/@10xGenomics and @ScienceMagazine on 3/29, I'll introduce new methods to analyze spatial/multimodal datasets that scale to tens of millions of cells: view6.workcast.net/register?…
YUHAN HAO retweeted
Wow
We present #Zebrahub: a timecourse atlas of zebrafish embryonic development, combining #scRNAseq time-course data with #lightsheet live imaging. Explore our seq. and imaging datasets interactively at
biorxiv.org/content/10.1101/…
zebrahub.org
1/n
YUHAN HAO retweeted
See this new Bioconductor blog post ✍️bioconductor.github.io/biocb… if you want to read more about this CuratedAtlasQueryR package.
Congrats @steman_research and team! 🎉👏 🥳
#rstats #Bioinformatics
🧬💻🔥 We are excited to launch #CuratedAtlasQueryR! millions of cells at your fingertips. A thread 🧵.
The harmonized and reannotated #CELLxGENE #singlecell human #atlas can be
explored and retrieved as #SingleCellExperiment. Please RT!
-> stemangiola.github.io/Curate…
YUHAN HAO retweeted
Check out our new preprint! We manually isolated all of the cells from C. elegans embryos from the 1-cell to the 102-cell stage! Our results suggest a deep homology of cell fate specification programs across diverse modes of development.
biorxiv.org/content/10.1101/…
YUHAN HAO retweeted
Interested in single cell genomics but need help getting started? Check out my lab's Single Cell Genomics Day on April 7. Talks will feature recent exciting computational and experimental advances and will be livestreamed at satijalab.org/scgd. Please RT/spread the word!
YUHAN HAO retweeted
New preprint w/@anshulkundaje introducing CPA-Perturb-seq! We systematically perturb regulators of cleavage and polyadenylation, and explore post-transcriptional changes at single-cell resolution. Led by @mh_kowalski @harm__w and @jjohlin (🧵)
biorxiv.org/content/10.1101/…
YUHAN HAO retweeted
Excited to share our preprint on multimodal single-cell sequencing to characterize antigen-specific CD8+ T cells across COVID vaccination and disease. We also release datasets profiling ATAC, RNA, protein, TCR and MHC dextramers at single-cell resolution:
biorxiv.org/content/early/20…




























