I am very excited to see our work on G-quadruplexes and alternative splicing finally published in @NatureComms 🚀 Many thanks to all the contributors to this work 🥂 @IGeoso @RaginiMedhi @robertomunita @ericmiskalab @kitkwok6 @m_hemberg https://t.co/RHdCFUKHwU

🧬 Excited to share Nicheformer out now in Nature Methods! A transformer foundation model linking single-cell & spatial omics, learning spatial context from gene expression to map tissue organization. Led by Ale Tejada & Anna Schaar 👏 👉 https://t.co/ba9DX7h2xg

CMTR1 directs mitochondrial dynamics during T cell activation through epitranscriptomic regulation of splice isoforms

Rapid, accurate long- and short-read mapping to large pangenome graphs with vg Giraffe. #Pangenome #ReadMapping #PangenomeGraphs @biorxivpreprint https://t.co/BGkJL72q9G

A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function https://t.co/eikK4JI0WS

Biology operates across multiple scales, from molecules and genes to cells, genomes, and clinical data. Understanding all of it needs models that think across every level at once. We are seeing now exciting multi-scale models that can help us scientists with these tasks ⬇️

Today @arcinstitute releases State, our first perturbation prediction AI model and an important step towards our goal of a virtual cell State is designed to learn how to shift cells between states (e.g. “diseased” to “healthy”) using drugs, cytokines, or genetic perturbations

Enhancers, how do they work (in vivo)? To find out, we mutagenized 7 human enhancers comprehensively in 12bp blocks and scored for activity in developing mouse embryos. https://t.co/tSNjllTKbY @Nature #mutagenesis #noncoding #enhancers

Introducing the world's first reasoning model in biology! 🧬 BioReason enables AI to reason about genomics like a biology expert. A thread 🧵:

Machine learning to predict de novo protein–protein interactions. #MachineLearning #PPI #ProteinInteractionDesign #MolecularSurfaces @TrendsinBiotech https://t.co/mvWgMcPeYk

Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data １．The paper introduces CryoBoltz, a novel method that combines cryo-EM density maps with pretrained protein structure prediction models, specifically AlphaFold3, to generate accurate atomic models of dynamic

Protein codes promote selective subcellular compartmentalization | Science

5 tools to visualize genomic datasets 🧵 1. Karyoploter https://t.co/E6rhYesEpT

1/ Matrix algebra felt abstract—until I applied it to biology. Now it's everywhere in my code, from RNAseq to proteomics. Let me show you.

“Lo que dijo Kaiser sobre las vacunas es una burrada”, dice el doctor en biología Gabriel León. “Las vacunas no funcionan con metales pesados y no se fijan en el cuerpo. Esa frase tiene una intención, enturbia el ambiente con una declaración que está basada en mentiras”

ZEB2 is a master switch controlling the tumor-associated macrophage program https://t.co/iDhnjjmc4j

Awesome work from @JoachimDeJonghe - This is one of these cases when you experiment just works much better than any expectation -> Saturation genome editing of RNU4-2 reveals distinct dominant and recessive neurodevelopmental disorders

Immune checkpoint TIM-3 regulates microglia and Alzheimer’s disease @Nature https://t.co/I8YadSQMxi

Microglia are such a pain. https://t.co/i1hs7h2Zhk

Once you start enjoying delicious food, it’s tough to stop. Fascinating @ScienceMag study revealed that brainstem dopamine neurons activate during indulgent eating. Weight loss drug Ozempic temporarily suppresses these neurons, but their activity surges again in response to

Gracias por todo lo que nos entregaste a nosotros tus alumnos, Dra. Katia Gysling QEPD.