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Ming "Tommy" Tang Nick Borcherding FindMarkers is now much (~30x in my use case) faster than previously (which is critical in large datasets ) thanks to efforts by Benjamin Parks and Gesmira Molla github.com/bnprks/BPCells…

VERY EXCITED 🌟 to announce that we've received an impressive number of applications for our inaugural CDN Accelerator Grants! 🚀 #SingleCellScience

Fantastic day of discussions and science Boston Children's Harvard University. Thank you to Tim Springer Lab for the invitation and to everyone who took the time to meet! And added bonus of catching up with lab alum Marc Elosua-Bayés!

ENJOY READING: A Human Tonsil Atlas Immunity Proud to present our Human Cell Atlas work generating an "Atlas of Cells in the Human Tonsil" at #singlecell resolution and 5 modalities. Thanks European Research Council (ERC) and superstar-teams CNAG and IDIBAPS. cell.com/immunity/fullt…

📺Dissabte al Telenotícies Vespre de #TV3, ha sortit publicat el nostre estudi sobre l'atles cel·lular de l'amígdala! 🧬Una #recerca coliderada amb l'IDIBAPS: el mapa més complet de les cél·lules de l'amígdala, que ens permetrà conèixer més sobre malalties com la #leucèmia i el

THE most complete T cell repertoire of a single breast cancer patient! 1 Primary tumor, 15 biopsies on treatment, 18 blood samples, 2 body fluids and 20 metastases at autopsy. Great collaboration Omniscope CNAG led by Leticia De Mattos-Ar IrsiCaixa nature.com/articles/s4146…

Writing this piece has been quite fulfilling (and scary). I spent half of last year putting in order some of my thoughts regarding how to study multicellular coordination with single-cell and spatial data. If you are interested please read the manuscript below. 😊

As I'm starting to dive into #plink for genetic analysis I was wondering which tutorials are the best to get started, any recommendations/best practices?

In case you are interested in visualizing genes co-expression (or any other two continuous variables) on whatever space, Matthew Kay's {ggblend} makes it super easy for you! (1/4) Thanks Marc Elosua-Bayés for this previous post 😃

Congrats Julio Saez-Rodriguez 🥳 As a group we are looking forward to collaborating with our new EMBL-EBI colleagues. It was nice to celebrate this development together with a bike ride and ice cream 🚲🍦

I’m honoured to receive the UPF PhD in Biomedicine Special Award along with my friends and Centre for Genomic Regulation (CRG) PhD mates Xavier Hernandez Alias Federica Mantica Ramon Massoni Badosa Marc Elosua-Bayés 🧑‍🔬🧑‍💻

🏅 Vuit #alumniUPF i doctorands del Programa de Doctorat en Biomedicina rebran el Premi Extraordinari de l'Escola de Doctorat. 🌟 Enhorabona, Marc Elosua-Bayés, Xavier Hernandez Alias, Nastassia Knödlseder, Morghan Lucas, Federica Mantica, Anna Palomar Cros, Ivan Pérez Núñez i Ramon Massoni Badosa! Descobreix els

🙌So proud of Ramon Massoni Badosa and Marc Elosua-Bayés, who deffended their thesis at #CNAG Their thesis supervisors: - Ivo Gut (Director of CNAG) and Holger Heyn (Single Cell Genomics Group Leader at CNAG , for Marc Elosua-Bayés - Holger Heyn, for Ramón Massoni #talent #PhD #PhDLife

STAMP is OUT! Sequencing-free #singlecell RNA and Protein profiling. Game-changing approach for scalable and cost-efficient analysis of single cells. The future starts today! Amazing ⁦Luciano Martelotto 🛠🧬💻🇦🇺⁩ ⁦Dr. Jasmine Plummer 👩🏻‍🔬🧬🇨🇦🇺🇸⁩ biorxiv.org/content/10.110…

📣The recording of "Introduction to scRNAseq workflow" by Marc Elosua-Bayés is now available: youtube.com/watch?v=hbLNA6… This talk is part of Broad Institute's MPG Primer series. For more info, check out broad.io/MPGPrimer

I'm thrilled to finally share the publication of this collaborative paper in Nature Communications ! Excited to contribute to the immuno-oncology field and can’t wait to see where this takes us! Check it out here: nature.com/articles/s4146… #SingleCell CNAG Esra Guc Holger Heyn Immunocore

1/9 New preprint out! 🍳 Our team at @EMBL, DKFZ, and Memorial Sloan Kettering Cancer Center built #segger—a fast, accurate cell segmentation tool for ST. It’s a transcript-to-cell link predictor that matches transcripts to their cell origins in a snap!

🚨 Inflammation Atlas – Version 2 is here! 🚨 MAJOR update of our INFLAMMATION ATLAS, including >6.5 million single cells from 1,047 patients across 19 diseases. Inflammation touches nearly every aspect of human health—from infections to cancer to chronic immune-mediated

1/ "Just do a quick analysis." If you're a bioinformatician, you've heard this before. But here's the truth 👇

This is amazing: the first large, randomized trial to show that exercise improves survival after cancer The benefit from the exercise program was like adding another cancer drug - without the side-effects