Jacob Hepkema
@jhepkema
Followers
354
Following
1K
Statuses
115
Working in the Parts group @ Wellcome Sanger Institute on gene regulation. Check out my very professional website at https://t.co/K23jxHvnWb.
Cambridge, England
Joined December 2017
RT @JonasKoeppel: If you’d like to work in this exciting science area, @LeopoldParts lab at the @sangerinstitute is hiring postdocs! This i…
0
6
0
RT @JonasKoeppel: We are happy to share our enhancer scramble story, a strategy to create hundreds of stochastic deletions, inversions, and…
0
33
0
RT @LeopoldParts: Does my mutation have the same impact as yours? Population genetics 🤠 🥸 🤓 🤡 meets single cell CRISPRi ⚡ !
0
18
0
Cool method - finding which proteins, RNAs, and DNAs are found in a µM-scale nuclear neighbourhood
It's my pleasure to present the next big preprint from SheqLab! An exciting application of our O-MAP platform that I hope will transform the study of nuclear architecture. If you've ever wanted to dissect the subnuclear "neighborhood" around an individual locus, read on! (1/30)
1
1
8
RT @JonasKoeppel: Genome engineering excelled at small nucleotide changes, but large edits remained challenging. Recent innovations are cha…
0
51
0
RT @wchenomics: Super excited to share that ENGRAM is out today! ENGRAM cells are programmed to write their histories into the genome, reco…
0
130
0
Cool work! Explores species-specific brain enhancer codes by comparing species-specific data (human, mouse, chicken) and by comparing predictions / attributions from models trained on species-specific data. Large correspondence of cell types & enhancer codes between species
0
0
4
RT @sara_mostafavi: Joins us for Machine Learning in Computational Biology (MLCB) 2024 Submission deadline: June 1…
0
44
0
RT @NVastenhouw: It’s finally out! The PhD work and first first author paper of @MartinoUgolini: Congrats to all c…
0
31
0
RT @buenoscience: Thrilled to finally announce our work on the selectivity of disordered protein condensation in @NatureChemistry. Great co…
0
37
0
RT @JonasKoeppel: What if we could inducibly create thousands of structural variants and ecDNAs in human cells and see which ones survive?…
0
104
0
A simple motif count-based model was good at predicting whether FOXA1 and HNF4A would bind inaccessible sites (AUC 69.0% & 76.6% respectively) - this didn't work as well for already accessible sites. Overall, affinity seems to be the main driver of pioneer activity here. 6/fin
0
0
4
RT @mitchguttman: Gene expression involves thousands of proteins that bind DNA, yet comprehensively mapping these is challenging. We develo…
0
242
0