There are other versions floating around eg. in the CRESTED package that are NOT anywhere close to the official implementation. 1/
There are other versions floating around eg. in the CRESTED package that are NOT anywhere close to the official implementation. 1/
www.science.org/doi/10.1126/...
www.science.org/doi/10.1126/...
My story:
My story:
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
1990 —5.9 million
2023—10.4 million
2050—18.8 million
is yet another reason we need to get primary prevention into high gear, which is now possible but not getting done
www.thelancet.com/journals/lan...
1990 —5.9 million
2023—10.4 million
2050—18.8 million
is yet another reason we need to get primary prevention into high gear, which is now possible but not getting done
www.thelancet.com/journals/lan...
www.biorxiv.org/content/10.1...
(1/n)
www.biorxiv.org/content/10.1...
(1/n)
www.biorxiv.org/content/10.1...
(1/n)
Single-cell multiomics reveals archetypal regulatory programs shared across CD4 and CD8 T cell subsets in viral infection
bioRxiv: doi.org/10.1101/2025...
🧵 Key findings below 👇
Single-cell multiomics reveals archetypal regulatory programs shared across CD4 and CD8 T cell subsets in viral infection
bioRxiv: doi.org/10.1101/2025...
🧵 Key findings below 👇
The E2G Portal! e2g.stanford.edu
This collates our predictions of enhancer-gene regulatory interactions across >1,600 cell types and tissues.
Uses cases 👇
1/
A subset of the ENCODE-rE2G predictions are now available through the Open Targets Platform as well. Thanks @d0choa.bsky.social !
bsky.app/profile/open...
5/
We have ingested the full dataset of over 13 million enhancer-gene regulatory interactions in the human genome across 1,458 DNase-seq experiments covering 369 cell types and tissues from the ENCODE-rE2G model
blog.opentargets.org/open-targets...
A subset of the ENCODE-rE2G predictions are now available through the Open Targets Platform as well. Thanks @d0choa.bsky.social !
bsky.app/profile/open...
5/
2/
2/
The E2G Portal! e2g.stanford.edu
This collates our predictions of enhancer-gene regulatory interactions across >1,600 cell types and tissues.
Uses cases 👇
1/
The E2G Portal! e2g.stanford.edu
This collates our predictions of enhancer-gene regulatory interactions across >1,600 cell types and tissues.
Uses cases 👇
1/
We plan to further integrate their data 👀
e2g.stanford.edu
We plan to further integrate their data 👀
e2g.stanford.edu
We have ingested the full dataset of over 13 million enhancer-gene regulatory interactions in the human genome across 1,458 DNase-seq experiments covering 369 cell types and tissues from the ENCODE-rE2G model
blog.opentargets.org/open-targets...
We have ingested the full dataset of over 13 million enhancer-gene regulatory interactions in the human genome across 1,458 DNase-seq experiments covering 369 cell types and tissues from the ENCODE-rE2G model
blog.opentargets.org/open-targets...
@stanford-chemh.bsky.social! We are searching for a new colleague working at the interface between computation and molecular sciences. See post below and pls forward widely!
chemh.stanford.edu/opportunitie...
@stanford-chemh.bsky.social! We are searching for a new colleague working at the interface between computation and molecular sciences. See post below and pls forward widely!
chemh.stanford.edu/opportunitie...
@stanford-chemh.bsky.social! We are searching for a new colleague working at the interface between computation and molecular sciences. See post below and pls forward widely!
chemh.stanford.edu/opportunitie...