DylanPWebster's profile picture. Software product @10xGenomics. 🧬⚾🥋🎸

Dylan Webster

@DylanPWebster

Software product @10xGenomics. 🧬⚾🥋🎸

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Dylan Webster 已转帖

Integrated #pathology annotation on the Xenium platform is now available! See for yourself how easy it is enhance your spatial insights by bridging pathology and #spatialtranscriptomics in a new tutorial. Check it out now: bit.ly/43l7fsX #AMPath2025

10xGenomics's tweet image. Integrated #pathology annotation on the Xenium platform is now available! See for yourself how easy it is enhance your spatial insights by bridging pathology and #spatialtranscriptomics in a new tutorial. Check it out now: bit.ly/43l7fsX

#AMPath2025

Excited to have a front seat @10xGenomics to see the breakthroughs that will follow from virtual cell models. And also to have had a small part in building the #singlecell #spatialbiology tools that will make this possible with data generation initiatives like the Billion Cells…

biohub.org

Billion Cells Project with 10x Genomics and Ultima Genomics

Landmark single-cell dataset of one billion cells will be used to train new AI models to advance researchers’ understanding of cellular behavior and gene function.

Mark Zuckerberg says progress comes from inventing tools that let us observe the world in a new way, from the microscope to AI models that simulate life itself. "Most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way."…



Awesome work Mike and Matt (and the entire Xenium software team) ! It's been great to see how the rapid advances in @10xGenomics Xenium software have impacted science in bringing this new technology to maturity quickly! #singlecellspatial #insitu #genomics #bioinformatics

Explore our top #Xenium #insitu software improvements since 2022 in this blog, featuring a faster self-serve custom panel design portal, algorithms for more accurate, powerful cell segmentation & more. Check out what’s new here! bit.ly/3IOibID



Awesome to see the power of the @10xGenomics Cloud Analysis (10xgenomics.com/cloud) back end come together with the accessibility of LLMs. Shout out to @evanwinget and Hayder Casey and our partners at @AnthropicAI for making it happen. #singlecell #bioinformatics #ai

What if you could simply ask your analysis tools for answers? We’re collaborating with @AnthropicAI to make that happen, working to turn #singlecell & #spatial analysis into a natural conversation, not a coding lesson. Learn more > bit.ly/43nBv6l

10xGenomics's tweet image. What if you could simply ask your analysis tools for answers? We’re collaborating with @AnthropicAI to make that happen, working to turn #singlecell & #spatial analysis into a natural conversation, not a coding lesson. Learn more > bit.ly/43nBv6l


Dylan Webster 已转帖

New: @MiLaboratories MiXCR + 10x Genomics = Effortless immune analysis. 🖥️ Get high-quality B/T cell receptor data without coding, with cross-species support. Perfect for immunology and oncology research. Start analyzing now: bit.ly/440wilL #SingleCell #Immunology

10xGenomics's tweet image. New: @MiLaboratories MiXCR + 10x Genomics = Effortless immune analysis. 🖥️ Get high-quality B/T cell receptor data without coding, with cross-species support. Perfect for immunology and oncology research. Start analyzing now: bit.ly/440wilL #SingleCell #Immunology

Check out what's next for 10x Genomics across #singlecell, #spatialbiology, and software!

Register now for our AGBT livestream on Feb. 23 where you’ll get an exclusive look at the 10x Genomics Roadmap and all our latest and greatest technology. It’s a once in a livestream opportunity! bit.ly/4hRuI9V

10xGenomics's tweet image. Register now for our AGBT livestream on Feb. 23 where you’ll get an exclusive look at the 10x Genomics Roadmap and all our latest and greatest technology. It’s a once in a livestream opportunity! bit.ly/4hRuI9V


Dylan Webster 已转帖

Creating the largest #singlecell dataset ever will take dedication, collaboration & high-performance tools. We’re thrilled the @ChanZuckerberg Billion Cells Project will pair GEM-X tech w/ @UltimaGenomics sequencing to achieve this landmark scale: bit.ly/40Fu5ZW

10xGenomics's tweet image. Creating the largest #singlecell dataset ever will take dedication, collaboration & high-performance tools. We’re thrilled the @ChanZuckerberg Billion Cells Project will pair GEM-X tech w/ @UltimaGenomics sequencing to achieve this landmark scale: bit.ly/40Fu5ZW

Dylan Webster 已转帖

We are excited that the @ChanZuckerberg Billion Cells Project will use our #UG100 sequencer and the @10xGenomics GEM-X tech to develop the largest #singlecell dataset ever. Collaboration and technology meet to accelerate AI in Biology. Learn more: prnewswire.com/news-releases/…

UltimaGenomics's tweet image. We are excited that the @ChanZuckerberg Billion Cells Project will use our #UG100 sequencer and the @10xGenomics GEM-X tech to develop the largest #singlecell dataset ever. Collaboration and technology meet to accelerate AI in Biology.

Learn more: prnewswire.com/news-releases/…

Dylan Webster 已转帖

This is what a good interface for spatial transcriptomics and scRNA-seq data looks like! 👏 Xenium Explorer by 10X Genomics offers an intuitive design for a quick overview of single-cell data, making it easier to explore and analyze complex datasets. Great job, @10xGenomics!…

mehrdadmsv's tweet image. This is what a good interface for spatial transcriptomics and scRNA-seq data looks like! 👏 Xenium Explorer by 10X Genomics offers an intuitive design for a quick overview of single-cell data, making it easier to explore and analyze complex datasets. 
Great job, @10xGenomics!…

Want to help build software that enables researchers to answer biology’s hardest and most elusive questions? Do so as Senior Product Manager, Cloud Visualization Software at @10xGenomics! boards.greenhouse.io/10xgenomics/jo… #singlecell #spatialbiology #hiring #productmanagement #TechJobs


Kudos to the Xenium Explorer team at @10xGenomics for consistently upleveling what's possible out of the box for Xenium analysis! #spatialbiology #insitu #singlecellspatial #bioinformatics

The holidays are a time for getting things checked off your wish list—and that includes upgrades for your #singlecellspatial tools. Check out our analysis page and unwrap the Xenium improvements we’re delivering to you! bit.ly/4flCNSu



Dylan Webster 已转帖

The holidays are a time for getting things checked off your wish list—and that includes upgrades for your #singlecellspatial tools. Check out our analysis page and unwrap the Xenium improvements we’re delivering to you! bit.ly/4flCNSu


Really good blog post! "... [T]he answer isn’t SQL expertise; it’s curiosity... Remember, a data hire isn't just a job title; it's a mindset."

Emilie Schario says today's data tooling and LLMs make it so everyone can be a "data hire" 📊

mixpanel's tweet image. Emilie Schario says today's data tooling and LLMs make it so everyone can be a "data hire" 📊


Dylan Webster 已转帖

Sainsc: A Computational Tool for Segmentation‐Free Analysis of In Situ Capture Data - Müller‐Bötticher - Small Methods - Wiley Online Library onlinelibrary.wiley.com/doi/10.1002/sm…


Dylan Webster 已转帖

A single-cell atlas of aging tissue demonstrates shared multi-omics of aging and cancer hallmarks nature.com/articles/s4358… @NatureAging @jacksonlab @justsaysinmice @OlgaAnczukow

EricTopol's tweet image. A single-cell atlas of aging tissue demonstrates shared multi-omics of aging and cancer hallmarks
nature.com/articles/s4358… @NatureAging @jacksonlab @justsaysinmice @OlgaAnczukow

Dylan Webster 已转帖

Delighted to share new work from our lab: MultiPerturb-seq 🎛️❌📥📤 Over the last few years, we've been combining CRISPR screens with multimodal readouts of gene expression (RNA) and chromatin accessibility (DNA). In this study, we bring those together within the same cells.

Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling go.nature.com/4hXER5O

NatureBiotech's tweet image. Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling go.nature.com/4hXER5O


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