Happy to present Gloss, our new computational method for the analysis of multi-modal LIPSTIC + scRNA-seq data coupling cell-cell interaction measurements with intracellular transcriptomes. Paper: doi.org/10.1016/j.cr... Led by an amazing PhD student Tamjeed Azad, with @victora.bsky.social

🖨️ Hot off the press 🍾 : I am super excited to share that our article on the host control of persistent EBV infection has just been published in Nature Magazine, in an accelerated article preview version: rdcu.be/e4Lg8

Nature research paper: Population-scale sequencing resolves determinants of persistent EBV DNA go.nature.com/4qZ9DiA

Population-scale sequencing resolves determinants of persistent EBV DNA - Nature

Population-scale WGS reveals genetic determinants of persistent EBV DNA, linking immune regulation—especially antigen processing and MHC class II variation—to EBV persistence and heterogeneous disease associations.

go.nature.com

First paper from grad school & first first-author! It's been a huge team effort, and it was lovely working with everyone. Check out Caleb’s thread summarizing how we used discarded WGS reads from biobanks to study EBV at population scale 🧬

Caleb Lareau@caleblareau.bsky.social · 6mo ago

Today in @nature.com, we describe how discarded reads in biobank-scale WGS can help resolve the genetic predictors and consequences of Epstein-Barr Virus (EBV) infection. Wonderful working with @ryandhindsa.bsky.social @sherrynyeo.bsky.social @erinmayc.bsky.social www.nature.com/articles/s41...

Excited to share our new preprint on detecting Epstein-Barr virus DNA in population-scale sequencing data! Many thanks to @caleblareau.bsky.social and our wonderful collaborators on this journey, where we leverage large biobanks to uncover more about how this ubiquitous virus impacts our health 🦠🧬🗑️

Caleb Lareau@caleblareau.bsky.social · last yr.

Excited to share a new preprint from the lab with @ryandhindsa.bsky.social ! www.biorxiv.org/content/10.1... Led by @sherrynyeo.bsky.social, @erinmayc.bsky.social, and friends, we continue our journey to find viral DNA in our favorite place-- the overlooked and discarded reads in existing data! 1/