The three technologies bioinformaticians need to be using right now opiniomics.org/the-three-tech…

James Taylor died yesterday. Our dear James Taylor -> Galaxy began with you. We will make sure it continues. We have no words.

We are excited to announce the release the ENCODE 3 publication package consisting of an Encyclopedia paper, perspective and 14 papers spanning topics of human and mouse gene expression, regulation, epigenetics, disease and software tools! nature.com/collections/dg…

🥳 A new InterPro paper has been published in Nucleic Acids Res ! Find out about the new features and data update we have been working on in the past 2 years: academic.oup.com/nar/advance-ar…

New SARS_CoV_2 virus strain update. TL;DR - there is something to understand more, and it looks like the virus has tweaked its biology at least on transmissibility; Public health, scientists + surveillance systems are on it.

We are delighted to announce the release of structural models for 6,370 families of unknown structure provided by Baker group Institute for Protein Design: xfam.wordpress.com/2021/03/03/fol… (funded by Biotechnology and Biological Sciences Research) #structureprediction #trRosetta #structuralbiology #deeplearning #AI

Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in nature w/open source code. Excited to see the research this enables. More very soon! bit.ly/alphafoldmetho… bit.ly/alphafoldgithub

In a new Science study, researchers present #RoseTTAFold—an #AI network that produces structure predictions with accuracies approaching those of DeepMind’s AlphaFold2. The tool’s code is freely available. Read more: fcld.ly/xgy73r8

I'm very excited to announce that you can explore the AlphaFold structural models in the InterPro website: proteinswebteam.github.io/interpro-blog/…

We are delighted to announce that we now make >375,000 #AlphaFold protein structure predictions from @DeepMind available in InterPro. Here is a spectacular example for the Arabidopsis SABRE protein: ebi.ac.uk/interpro/prote…

This illustration by Inna-Marie, inspired by Waddington’s second most famous drawing, shows with remarkable directness how MultiFate’s 3 transcription factors, interacting in combinations, produce a multistable epigenetic landscape.

A Python library for probabilistic analysis of single-cell omics data go.nature.com/3JbnBaU

We have successfully trained OpenFold from scratch, our trainable PyTorch implementation of AlphaFold2. The new OpenFold (OF) (slightly) outperforms AlphaFold2 (AF2). I believe this is the first publicly available reproduction of AF2. We learned a lot. A🧵1/12

DeepMind and EMBL-EBI have released the predicted structures of over 200 million proteins covering almost every organism that has had its genome sequenced. These are now openly available to the scientific community via the AlphaFold Database. embl.org/news/technolog…

💻 Are you proficient in Python or skilled with Nextflow? 🌟 We are hiring a Bioinformatics Developer in the InterPro team to shape the future of protein data resources at EMBL-EBI! 🚀 Apply by Sept 4. embl.org/jobs/position/…

Very excited about our release of Pfam-N v3 on InterPro! A collaboration between Google DeepMind and EMBL-EBI. Check out the blogpost: 👇 xfam.wordpress.com/2024/05/31/pfa… 🧵1/5

InterPro: the protein sequence classification resource in 2025 Nucleic Acids Res 1. InterPro version 101.0 provides a comprehensive resource for protein sequence classification, integrating over 84,000 predictive models (signatures) from 13 databases, covering more than 80% of

Prediction confidence scores help #AlphaFold users gauge the reliability of protein structure predictions. But things get more challenging for protein families. This new method helps improve low confidence predictions within protein families. academic.oup.com/bioinformatics…