Timm Häneke
timmhaeneke.bsky.social
Timm Häneke
@timmhaeneke.bsky.social
PhD student @karolinskainst.bsky.social / Llorens Group / Regenerative medicine, synthetic biology and computational genomics
Happy to be part of this project, which uses multiomics and sequence-to-function models to decode and leverage injury-responsive enhancers in the CNS for cell-state-specific targeting. @natneuro.nature.com @margheritazamboni.bsky.social @ellorens.bsky.social

www.nature.com/articles/s41...
The regulatory code of injury-responsive enhancers enables precision cell-state targeting in the CNS
Nature Neuroscience - Zamboni et al. reveal how enhancers encode cell-type-specific responses to CNS injury. By combining multiomic profiling, deep learning and in vivo screening, they uncover...
www.nature.com
December 3, 2025 at 3:11 PM
Reposted by Timm Häneke
Machine learning (ML) is revolutionizing genomics, but common pitfalls can lead to misleading results. Here's a thread on how to avoid them 🧵
January 24, 2025 at 2:45 PM
Reposted by Timm Häneke
Congrats to Johannes Linder, David Kelley et al. on the journal publication of Borzoi - a long context sequence models of RNA-seq coverage profiles with many nice applications for transcriptional & post-transcriptional regulation & variant effect prediction.

www.nature.com/articles/s41... 1/
Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation - Nature Genetics
Borzoi adapts the Enformer sequence-to-expression model to directly predict RNA-seq coverage, enabling the in-silico analysis of variant effects across multiple layers of gene regulation.
www.nature.com
January 8, 2025 at 10:06 PM