I found the JHU Data Services talk at #IDIES2023 very interesting! 🤩

I’ll reach out to that group & explore possible synergies with what my team does at @LieberInstitute + advertise their services to the Stat Computing students @jhubiostat @IDIESJHU

dataservices.library.jhu.edu

Alexis @alexisjbattle.bsky.social kickstarts #IDIES2023 with a great keynote on predicting the effect of rare genetic variants

Check out #Watershed by @BennyStrobes.bsky.social et al

💾 github.com/BennyStrobes...
📜 doi.org/10.1126/scie...

@GenomicsAtJHU @IDIESJHU

www.idies.jhu.edu/news-events/...