Seven Seven Six 7️⃣7️⃣6️⃣’s Post

How well does the public know science? Nucleus Genomics stormed the streets of SoHo for a brand new series to find out. The rules were simple. But we couldn’t have predicted what would happen next…

In our recent LinkedIn poll, the rise of CRISPR-Cas9 technology stood out to you as the most memorable innovation of the 2010s. Now, join us as we revisit this exciting era in genomics with an interview with PacBio Founder, Stephen Turner, PhD. Hear his thoughts on the breakthroughs that shaped genomics and discover where he thinks the field is headed next. #PacBio #WelcomeToTomorrow

Big news today for 2 Spatial Genomics Companies: 1. 10x Genomics won a permanent injunction against Nanostring/Bruker for the use of the GeoMX in the USA. 2. Singular Genomics is being acquired by Deerfield The picture keeps changing for spatial genomics

Our Machine Learning for Evolutionary Genomics Data conference in Crete will be streamed via: https://lnkd.in/d5uvdqdx Check the program at: https://lnkd.in/dK_twcgH - keep in mind that times are EET!

🔬 From Data to Discovery 🌌 Ever think about how a tiny strand of DNA can hold secrets to revolutionary cures? As a Genomics Research Manager, I dive into the symphony of genomics every day—decoding patterns, designing experiments, and dreaming up the next breakthrough in drug development. Imagine this: Data whispers, experiments shout, and somewhere in the middle, discovery sings. 🎶 What’s the most mind-blowing thing about genomics that you’ve come across? Let’s unravel some scientific magic together. #GenomicsInnovation #DrugDevelopment #DataInspiresDiscovery

𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗚𝗲𝗻𝗼𝗺𝗶𝗰 𝗖𝗼𝗱𝗲: 𝗔 𝗡𝗲𝘄 𝗣𝗮𝗿𝗮𝗱𝗶𝗴𝗺 𝗶𝗻 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗺𝗮𝗹 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 We are excited to share groundbreaking research that redefines our understanding of the genomic code. Traditional metaphors like "𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁" or "𝗽𝗿𝗼𝗴𝗿𝗮𝗺" fall short of capturing the dynamic and complex nature of genetic encoding. Instead, we propose viewing the genome as a generative model of the organism, akin to modern machine learning techniques. 🔍 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: 1) The genome encodes a compressed space of "latent variables" that shape an energy landscape, guiding self-organizing developmental processes. 2) This new model offers a formalized, robust framework to explain the intricate relationship between genotype and phenotype, enhancing our grasp of genetic architecture, trait selectability, and evolutionary processes. 🌟 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Understanding the genome as a generative model provides deeper insights into genetic robustness, variability, and evolvability. This perspective not only aligns with empirical data from systems biology but also opens new avenues for simulating artificial life and advancing computational biology. 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗟𝗶𝗻𝗸: 📜Paper: https://lnkd.in/d_6FBv_i 𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬 𝐢𝐟 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐚𝐧𝐲 𝐢𝐧𝐪𝐮𝐢𝐫𝐢𝐞𝐬 𝐨𝐫 𝐫𝐞𝐪𝐮𝐢𝐫𝐞 𝐚 𝐝𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧. 𝐖𝐞'𝐫𝐞 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐚𝐬𝐬𝐢𝐬𝐭 𝐲𝐨𝐮 𝐚𝐧𝐝 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐜𝐥𝐚𝐫𝐢𝐭𝐲. Visit our website: https://www.medvolt.ai or reach out to us via email: contact@medvolt.ai Are you passionate about the latest biotech advancements, cutting-edge drug discovery news, and groundbreaking research papers? Look no further! Subscribe to Medvolt's FREE newsletter: https://lnkd.in/d6Fmfu-N #Genomics #Biotechnology #GeneticResearch #SystemsBiology #EvolutionaryBiology

Gene perturbation - 2 years ago was science fiction. With new 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐬 🤖 𝐟𝐨𝐫 𝐛𝐢𝐨𝐥𝐨𝐠𝐲 🧬 this is finally possible! In the last few months, several groundbreaking foundational models have been published. While the applications for those foundational models are diverse and their potential is enormous, there are many challenges: 🤷 Understanding what 𝐛𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 are even 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭  📈 Figuring out 𝐰𝐡𝐢𝐜𝐡 foundational models exist and 𝐭𝐫𝐞𝐧𝐝𝐢𝐧𝐠? ⚙️ 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐮𝐬𝐢𝐧𝐠 those Correctly! Together with our partners AION Labs, Yair Benita, Dror Hilman and Daniel Koster have studied two of the most popular ones. Geneformer and scGPT. We’re hosting a webinar to 𝐬𝐡𝐚𝐫𝐞 𝐨𝐮𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 to make it easier for everyone else, here is what we’ll cover: ▶️ Short 𝐫𝐞𝐯𝐢𝐞𝐰 of leading foundational models for biology  💢 The 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐰𝐞’𝐯𝐞 𝐬𝐞𝐞𝐧 in scGPT and how to overcome those 🌀 𝐆𝐞𝐧𝐞 𝐩𝐞𝐫𝐭𝐮𝐫𝐛𝐚𝐭𝐢𝐨𝐧 demo Save the date! May 30th, 2024 👉 Register here: https://lnkd.in/eUyw6mzq #foundational models, #genAI, #scGPT, #bioinformatics, #biotech

Diversity is better than large datasets It does not matter so much that the Uniprot database has hundreds of millions of sequence entries - it has historically grown for reasons that make it just not so diverse. While there remains much to be discovered in Uniprot as is described in this wonderful Nature paper by Torsten Schwede and Joana Pereira, for machine learning it may not the best database. BRAIN Biotech AG's MetXtra™ database is, by our calculations, 5 times as diverse as Uniprot - and it is expanding in an interesting way with our collaboration with Biodiscovery AS from Norway. By analogy, one can learn more truth about current events from reading multiple news articles from different sources rather than one very long opinion piece. https://lnkd.in/etwPbD6s

How is Genomics Helps the Global Technology by Inspiring yourself

🇬🇧 🇶🇦 Qatari state visit this week. It’s seen several interesting announcements and initiatives launched. One worth scrutinising is a shared approach to artificial intelligence and genomics research. More in this week’s note.