First deep learning project. Great teamwork with Bastian Eichenberger

Finally out in a peer-reviewed journal Genome Biology! PhD project of our first student Oriana Genolet - great work, we are really missing you in the lab! Great collaboration with Michael Boettcher and important contributions from Anna Alessandra Monaco! genomebiology.biomedcentral.com/articles/10.11…

Come join the fantastic Kim Jensen Lab in Copenhagen! An amazing group of scientists and a great supervisor!

A paper published in Nature presents a deep-learning algorithm for classification of cancers of unknown primary origin. go.nature.com/3f2tt8W

Delighted to share my lab’s jdavieslab first big paper in nature! We’ve developed a new 3C technique called Micro Capture-C that can generate base pair resolution 3C data nature.com/articles/s4158…

It’s out our first deep learning project!

Debutta a Milano la scuola per gli imprenditori deep tech startupbusiness.it/debutta-a-mila… Startupbusiness

1/5 I'm very proud to share our new story about the reconstruction quality of 3D chromosome conformation. Thanks to wonderful collaboration: Aleksandra Galitsyna, Sergey Ulianov, Mikhail Gelfand, Sergey Razin, and Alexander Chertovich (mspslab.com). doi.org/10.1371/journa…

What happens to gene regulation when an almost entire TAD is inverted? Check out our work below 👇 Heard_Lab @LucaGiorgetti yinxiu zhan Elphege Nora Lab at UCSF @Joke_van_Bemmel @maudborensztein a great team effort as usual :) thank you all 🙏

(1/6) our preprint biorxiv.org/content/10.110… is now out in Science Magazine science.org/doi/10.1126/sc… Using super-res live-imaging we show that CTCF/cohesin loops are dynamic (~10-30 min median lifetime), rare (~3-6.5% looped fraction), and we fully parameterize a TAD.

Congrats Franka and all the people involved!

Very happy to present our last interdisciplinary work on heterochromatin formation, HP1 & Liquid-liquid phase separation. Great work by Maxime👏. Fantastic collaboration with the Karpen lab ! biorxiv.org/content/10.110… Below for more description 👇

Congrats and well deserved! I have been very lucky to have had you as mentor (within and outside science!) and friend! Good job FMI science

Checkout our last paper! CTCF and cohesin control proximity and looping dynamics! Awesome collaborations with Pia Mach Pavel Kos at @LucaGiorgetti Lab

A short Tweetorial on LAMMPS. LAMMPS (Sandia National Labs) is a v powerful engine to perform molecular dynamics simulations. Albeit popular, there are still some people who struggle to pick it up due to a relatively steep learning curve. I hope this will help you getting started.. (1/n)

New preprint from our lab: E-E-P massively parallel reporter assay to understand how signals from *two* enhancers are integrated by promoters: doi.org/10.1101/2023.0…

In this episode we talked to @LucaGiorgetti from the FMI science to hear about his work on long-range transcriptional control by 3D chromosome structure. #chromatin #podcast #epigenetics Listen here: activemotif.com/podcasts#luca-…

Finally out, great collaboration with Lab Nicola Iovino. Using imaging, cut&tag and modelling, we showed that H3K9me3 is dispensable for HP1a recuitment during early development in drosophila!

I am happy to share our new work on H3K9me3 in early embryos: embopress.org/doi/full/10.10… -H3K9me3 is inherited from the oocyte to the embryo (F1), like H3K27me3. -HP1a binds independently of H3K9me2/3 in early embryos. -The formation of HP1a foci is dependent on H3K9me2/3.

The first preprint of our PERICODE consortium: MPRA-trained deep learning provides insight into the regulatory logic of promoters and transcription factors. biorxiv.org/cgi/content/sh…