www.nature.com/articles/s41...
www.nature.com/articles/s41...
1) CREsted: to train sequence-to-function deep learning models on scATAC-seq atlases, and use them to decipher enhancer logic and design synthetic enhancers. This has been a wonderful lab-wide collaborative effort. www.biorxiv.org/content/10.1...
1) CREsted: to train sequence-to-function deep learning models on scATAC-seq atlases, and use them to decipher enhancer logic and design synthetic enhancers. This has been a wonderful lab-wide collaborative effort. www.biorxiv.org/content/10.1...
Congrats to @niklaskemp.bsky.social & @seppedewinter.bsky.social & all the others working on this super cool project!
Congrats to @niklaskemp.bsky.social & @seppedewinter.bsky.social & all the others working on this super cool project!
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...