@Microsoft is headed to London next week for @FoGenomics! Join us to explore how the cloud supercharges biomedical #research collaboration and discovery. Reach out if you want to connect with Microsoft at #FoG2023 or attend our biodata presentation on January 25.
Join us at #BioC2022! Microsoft's Lead Genomics Data Scientist Erdal Cosgun will be sharing how to deploy 'Custom @Bioconductor Data Science VMs on Azure'. https://t.co/qt3lXu9Ikm
New TechCommunity blog on deck!
Easily integrate #Genomics and #Clinical data from #FHIR server in Azure Synapse Analytics!
https://t.co/Qcf50ZFDcD
Learn more! Come talk to us at #BioIT
Greetings from #Boston We are live and excited to be here in person @bioitworld 2022!
We'll be presenting on Wednesday @ 4:10 in the Cloud Computing track and perusing the exhibit hall throughout the conference. Come find us or DM to set up some 1:1 time.
We’re partnering with @VerilyLifeSci and @BroadInstitute to help researchers around the world use the power of our cloud and ecosystem to interpret biomedical data – and advance the treatment of disease.
25 million Americans — approximately 1 in 13 people — are affected by a rare, and often undiagnosed, condition. Genomic data innovation from our partners @PacBio and @ChildrensMercy on #Azure#AI bring real breakthroughs in the diagnosis journey for kids. https://t.co/iuH7YzVCPa
So excited that this partnership is finally public. Such a great opportunity to work with @MSFTGenomics and @ChildrensMercy to understand impact of HiFi on solve rate. Early results coming at ASHG in a couple of weeks. #futureinHiFi https://t.co/KQBMo7Ka1m
Be future ready. Use #Azure to unlock new ways to provide care. Learn more at the #Microsoft Tech in Healthcare Virtual Summit with @AngelBeat, October 1: https://t.co/cWbC4bCKcC #AzureIoT
Are you interested in #genomics? Register for #BUILD2020 and hear about our work to enable #Azure users to leverage the power of the #cloud on genomics data, among all the great work being showcased by @Microsoft
https://t.co/BFTGcemgFb
@phototrophic@mseetin@lh3lh3 Indeed! I will actually run it and break it down further- but in short it looks like the compute costs will be a little over $130, and the rest is reserving premium HDD for the time.
@mseetin@phototrophic@lh3lh3 Not bad, just punched in the numbers and looks like if you didn't have a 64 core machine you can do this on Azure for ~$150 bucks or so all in...starting from HiFi Reads. :)