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Eric Dawson

@erictdawson

Senior Scientist - Genomics, HPC and AI @nvidia . Formerly National Cancer Institute and University of Cambridge. All views are my own. (he/him)

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Eric Dawson Reposted

Today we launch @NVIDIA’s Virtual Screening for Drug Discovery implemented via inference microservices or NIMs. Leading biotechnology software providers such as @Benchling, @Dotmatics, @Schrödinger, @TetraScience and @Terray_Tx to use NIMs in their computer-aided drug discovery…

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Eric Dawson Reposted

The Tsosie Lab for Indigenous Genomic Data Equity and Justice is hiring a Research Technician with an immediate start date at Arizona State University. The position is to assist our Community Engagement Coordinator with outreach projects related to working with Indigenous peoples…


Eric Dawson Reposted

NVIDIA is advancing #DrugDiscovery and #DigitalHealth by launching more than two dozen new microservices that allow #healthcare enterprises worldwide to take advantage of the latest advances in #generativeAI from anywhere and on any cloud. nvda.ws/4cjavIi #GTC24

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So, so proud to be part of the #nvidia #BioNeMo team, and to see @nvidia and @NVIDIAHealth continue to make accelerated genomics and computer-aided drug discovery a reality. Looking forward to the rest of #GTC2024 and then getting back to building the future.

Announced today at #GTC24, #pharma and biology researchers can now take advantage of NVIDIA #BioNeMo’s expanded #generativeAI foundation models to accelerate protein structure prediction, generative chemistry and molecular docking prediction.nvda.ws/3wWPNh5 #DrugDiscovery

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Eric Dawson Reposted

Announced today at #GTC24, #pharma and biology researchers can now take advantage of NVIDIA #BioNeMo’s expanded #generativeAI foundation models to accelerate protein structure prediction, generative chemistry and molecular docking prediction.nvda.ws/3wWPNh5 #DrugDiscovery

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Eric Dawson Reposted

This March, Come join us at UCSD for our inaugural CaSAS seminar! Science talks will be in spanish and refreshments will be provided! Interested in joining our email list or presenting someday? Scan our QR code and complete our form!

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Eric Dawson Reposted

While genome sequencing is not being routinely used in medicine, we expect that things will be quite different by the end of the decade, as ongoing studies demonstrate how best to use genomic information in clinical care.


Well said.

While my knowledge is nothing compared to Prof. Przeworski and others echoing these (whom I respect greatly), I feel compelled to say that, as a scientist and a doctor from an underrepresented population, we need to be careful with such statements. We haven't even scratched the…



Eric Dawson Reposted

Can you help us hit our goal of 4000 followers? Our mission: sequence, catalog & characterize the genomes of Earth's eukaryotic biodiversity to create a new foundation for biology to drive solutions for preserving biodiversity & sustaining human societies. Follow for updates!


Eric Dawson Reposted

We have three positions open in the Tree of Life Assembly team @sangerinstitute @SangerToL working on biodiversity genome assembly for @darwintreelife, @erga_biodiv, @genomeark, @EBPgenome


Eric Dawson Reposted

1/ Not every #oncogene acts like an oncogene – context is key. Here, with the Varmus Lab @WCM @WCM_MeyerCancer, we demonstrate an ‘oncogene’ in the wrong cell type doesn’t act like an oncogene anymore. science.org/doi/epdf/10.11…


Eric Dawson Reposted

Breaking compatibility (with past GATK and other tools) at this scale was a dangerous move. I don't see "a very minor boost in efficiency" could justify the change. There are probably many other ways to make GATK faster. Nevertheless, it is probably too late to revert now.


Eric Dawson Reposted

Don't miss this awesome workshop on variant calling tomorrow, hosted by @DeepOriginBio deeporigin.com/register-for-o…


Eric Dawson Reposted

NVIDIA #BioNeMo, now features more than a dozen #generativeAI models, including Recursion’s Phenom-Beta model for target and hit discovery, accessed through cloud APIs for inference and customization. nvda.ws/3Sc3Jf2


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