Happy to announce that our paper BEND (Benchmarking DNA Language Models on Biologically Meaningful Tasks) has been accepted for ICLR 2024. See you in Vienna!

We organise a mini-conference on GenAI in Life Science Apr 15-16, 2024. See the fantastic lineup at genlife.dk Organised by Wouter Boomsma, Aasa Feragen, Jes Frellsen, Thomas Hamelryck, Anders Krogh, Simon Olsson, Ole Winther Sponsored by @DataScienceDK & Novo Nordisk Foundation

can those who are super duper serious about the imminent bio-weapon apocalypse by LLM please flip the sign in their code and help us find some new therpeutics? man it’s not easy

We wrote a blog post about our benchmark of DNA language models on the human genome. Check it out on Portal

How to trace developmental potential on an absolute scale from single cell expression data? We are thrilled to announce that CytoTRACE 2 is out on bioRxiv! Aaron Newman Lab github.com/digitalcytomet… doi.org/10.1101/2024.0…

If you’re at ICLR, come by our poster this afternoon at 4.30 pm in Halle B (poster number 50) and let’s chat about diffusion!

We're at #ICLR2024 presenting BEND in the poster session this afternoon - come chat with us about DNA LMs! Frederikke M

We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more: evolutionaryscale.ai/blog/esm3-rele…

We were invited to write a review article on DNA/genomic language models (gLMs). We took this occasion to gather our thoughts on promising applications, and major considerations for developing and evaluating gLMs. Pls share with your colleagues: Preprint: arxiv.org/abs/2407.11435

We're hiring! My new group at ETH Zurich has the following opening: "PhD Position in Medical AI and Foundation Models" More details here: jobs.ethz.ch/job/view/JOPG_… Please share & repost widely!

Excited to spend the next three months visiting Debora Marks lab at Harvard!

Introducing the 😱OMG dataset and 🤖gLM2! OMG is a massive Open MetaGenomic corpus totaling 3.1Tbp of data and 3.3B proteins. We train gLM2, the first mixed-modality genomic language model, on OMG. 1/🧵 #BioML #AI4Science

We’re excited to introduce @ChaiDiscovery and release Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of drug discovery tasks We're releasing inference code, weights & a web interface: chaidiscovery.com/blog/introduct…

Continuous evolution of user-defined genes at 1 million times the genomic mutation rate - out today in Science, and my first authorship with my new name ✨It is nice to get reacquainted with you, I am Aviv 👋 science.org/doi/10.1126/sc…

LOL-EVE: Predicting Promoter Variant Effects from Evolutionary Sequences 1. LOL-EVE is a new model designed to predict the effects of insertions and deletions (indels) in human promoter regions, where traditional methods often fall short. By leveraging a massive dataset of

🚨ICML Paper Alert🚨 What if finding the right protein homologs wasn't a slow search, but a learned part of the model itself? We introduce 𝐏𝐫𝐨𝐭𝐫𝐢𝐞𝐯𝐞𝐫, an end-to-end framework that learns to retrieve the most useful homologs for self-supervised reconstruction! (1/12)