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Have you ever wanted to visualize your #SingleCell data in virtual reality? Now you can! We are happy to present singlecellvr.com! You just need a cheap cardboard #VR visor (~$8) and your phone to upload and explore your data in VR! Preprint here bit.ly/scVR

A fun project with Huidong Chen, @davidstientist, Luca Pinello and several others is now bioRxiv: biorxiv.org/content/10.110… The website is at singlecellvr.com and I did a small write-up here: medium.com/@mvinyard/expl…. Feedback on the tool is welcome!

Strong ligand-receptor binding

New and improved version of singlecellVR up on bioRxiv now! Feedback welcome Thanks to: David Stein Huidong Chen Luca Pinello biorxiv.org/content/10.110…

singlecellVR online now in Frontiers - Genetics. Fun fall weekend in2019 turned into a real development effort by David Stein, Huidong Chen, Qian Alvin Qin, Rebecca Combs, Qian Zhang, and of course Luca Pinello. frontiersin.org/articles/10.33…

Great work David Stein, generating the first genome-wide method classifying pathogenic gain-of-function (GOF) and loss-of-function (LOF) variants, precalculated for all human missense variants. Preprint: biorxiv.org/content/10.110… Thanks Avner Schlessinger for this collaboration.

Check out our new study predicting gain-of-function (GOF) and loss-of-function (LOF) variants from genomic and protein features.

Come check out our poster (PB3004) tomorrow summarizing our work "Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of diverse feature set" Yuval Itan Avner Schlessinger #ASHG22 #ASHG2022

Check out the new study preprint of Meltem Ece Kars, generating a knowledgebase of currently known categorized COVID-19 severity variants, and performing genomewide machine learning predictions of novel pathogenic COVID-19 variants. medrxiv.org/content/10.110… itanlab.shinyapps.io/COVID19webpage/

Did Twitter Blue tweet just cost Eli Lilly $LLY billions? Yes.

Pleased to share our new preprint on using AI-generated models to explore the kinase conformational space. With Gaurav Pandey, Yan Chak (Richard) Li and others, we characterize druggable conformations via AlphaFold2, and share hundreds of these models. biorxiv.org/content/10.110…

Congrats David Stein for the new publication: genomemedicine.biomedcentral.com/articles/10.11… A genome-wide machine learning classifier differentiating gain-of-function from loss-of-function pathogenic human variants. Webserver: itanlab.shinyapps.io/goflof/ A great collaboration with Avner Schlessinger.

Mount Sinai researchers introduce #LoGoFunc - a new machine learning tool that predicts pathogenic variants, advancing precision medicine. Learn more: mountsinai.org/about/newsroom… #machinelearning #genetics #precisionmedicine Yuval Itan Avner Schlessinger David Stein @bronfman_inst

🧬 Excited to share our latest paper, presenting a new method for predicting gain-of-function vs. loss-of-function mutations using machine learning. A collaboration with Yuval Itan, led by David Stein Paper: rdcu.be/dtCDS Press release: rb.gy/udqs4s

Check out our latest paper from the Avner Schlessinger on exploring the conformational space of protein kinases using AlphaFold2! #PLOSCompBio: A comprehensive exploration of the druggable conformational space of protein kinases using AI-p ... dx.plos.org/10.1371/journa…