Viral Informatics, Biostatistics, and Evolution (VIBE) Lab
@vibelab.co.uk
190 followers 170 following 3 posts
We use newly emerging data and computational methods to investigate cross-species transmission of RNA viruses and their evolution! More info: https://vibelab.co.uk/ Based at @cvrinfo.bsky.social Managed by @liambrierley.bsky.social
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Reposted by Viral Informatics, Biostatistics, and Evolution (VIBE) Lab
Reposted by Viral Informatics, Biostatistics, and Evolution (VIBE) Lab
vibelab.co.uk
🚨👨🏽‍🔬👩🏿‍🔬𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗵𝗶𝗿𝗶𝗻𝗴 𝗮𝗹𝗲𝗿𝘁!

Work with us to develop supervised learning and graph analysis of the evolutionary and genomic links between viruses, the tissues they can infect, and the hosts that can be infected.

3y role based at @cvrinfo.bsky.social, apply by 18 Mar:

vibelab.co.uk/blog/25-02-1...
3y postdoc role available in computational biology! | VIBE Research Lab
Work with us in a three year postdoc research role! The role will develop supervised learning and graph analysis methods to understand the evolutionary and genomic links between viruses, the tissues t...
vibelab.co.uk
Reposted by Viral Informatics, Biostatistics, and Evolution (VIBE) Lab
Reposted by Viral Informatics, Biostatistics, and Evolution (VIBE) Lab
colincarlson.bsky.social
Something I'm very proud of: @viralemergence.bsky.social has spent years now using ML models to figure out which orthopoxviruses could pose a risk to human health (left) and trace them back to their animal hosts (right)

Links:
www.cell.com/patterns/pdf...
www.biorxiv.org/content/10.1...
A table of the top 20 predicted viruses that could infect humans from Poisot et al. (linked). Ectromelia virus, a poxvirus, is in the middle of the table Four phylogenetic trees - two for each model, each with different cutoffs applied to predicted probabilities - showing the number of predicted mammal-OPXV links.
Reposted by Viral Informatics, Biostatistics, and Evolution (VIBE) Lab
vibelab.co.uk
🔍🦠🦗 𝗣𝗵𝗗 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲!

Work with us, @martashocket.bsky.social and Max Farrell to build information systems and large language models to capture key biological host-pathogen relations from literature - that could control crop pests or conserve biodiversity!