BioLizard

🦎 BioLizard has been named 𝗕𝗶𝗼𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗬𝗲𝗮𝗿 in the 5th Annual BioTech Breakthrough Awards 🎉 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙥𝙧𝙚𝙨𝙨 𝙧𝙚𝙡𝙚𝙖𝙨𝙚 👉 eu1.hubs.ly/H0qq10J0

🧬 Meet 𝙈𝙚𝙩𝙖𝙂𝙧𝙖𝙥𝙝, the new “Google for DNA” that brings order to biology’s data deluge, our #interestingread for today. 💡 𝙍𝙚𝙖𝙙 𝙢𝙤𝙧𝙚: eu1.hubs.ly/H0qg1DP0

🚨 Today’s #interestingread spotlights 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 𝙊𝙎𝙎𝘼𝙎, an ambitious open-science initiative aiming to transform scientific literature into a searchable, structured knowledge base, using custom-trained LLMs. 🔗 𝙍𝙚𝙖𝙙 𝙢𝙤𝙧𝙚: eu1.hubs.ly/H0qd8vq0

Today’s #interestingread features 𝗠𝗛𝗖𝗾𝘂𝗮𝗻𝘁𝟮, a next-generation open-source pipeline advancing immunopeptidomics and cancer antigen discovery. 📖 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0nyL4y0

Today’s #interestingread sheds new light on the hidden drivers of cancer spread — revealing how necrosis at the tumour core fuels metastasis. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0nyLKD0

The #interestingread for today highlights a powerful R package for interpreting gene enrichment results using Gene Ontology (GO) with greater clarity. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0nyLkX0

Today’s #interestingread takes us into the world of high-resolution spatial transcriptomics with a side-by-side comparison of 𝙑𝙞𝙨𝙞𝙪𝙢-𝙃𝘿 vs 𝙓𝙚𝙣𝙞𝙪𝙢-5𝙆 on the same tissue slide. 📖 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0nyL9w0

Today’s #interestingread dives into how researchers are tackling one of the biggest obstacles in functional genomics: figuring out exactly what disease-associated variants do inside real human cells. 📖 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0nyFpv0

Today's #interestingread introduces 𝗥𝗶𝗯𝗼𝗡𝗡, a deep convolutional neural network designed to predict translation efficiency of mRNAs across human and mouse. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙥𝙖𝙥𝙚𝙧 𝙝𝙚𝙧𝙚: eu1.hubs.ly/H0n0Sxf0

The #interestingread for today takes us into the frontier of genome completeness, with researchers uncovereing thousands of complex structural variants and closed long-standing gaps in regions like centromeres and immune genes. 💡 𝙍𝙚𝙖𝙙 𝙢𝙤𝙧𝙚: eu1.hubs.ly/H0mxxVz0

Our #interestingread of the day showcases the 𝗖𝗼𝘀𝗠𝘅 𝗛𝘂𝗺𝗮𝗻 𝗪𝗵𝗼𝗹𝗲 𝗧𝗿𝗮𝗻𝘀𝗰𝗿𝗶𝗽𝘁𝗼𝗺𝗲 𝗖𝗼𝗹𝗼𝗻 𝗗𝗮𝘁𝗮𝘀𝗲𝘁. 💡 𝙍𝙚𝙖𝙙 𝙢𝙤𝙧𝙚: eu1.hubs.ly/H0mxxXw0

Today's #interestingread examines the performance of AI in predicting the effects of gene perturbation using single-cell data. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙨𝙩𝙪𝙙𝙮: eu1.hubs.ly/H0mxwRT0

🦎 𝗟𝗲𝗮𝗱 𝘁𝗵𝗲 𝗪𝗮𝘆 𝗶𝗻 𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆! We’re on the hunt for a 𝗧𝗲𝗮𝗺 𝗟𝗲𝗮𝗱 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 to help shape the future of innovation at BioLizard. If you’re ready to lead, let’s talk 👉 eu1.hubs.ly/H0mmT4Z0

Today's #interestingread spotlights 𝗚𝗲𝗻𝗲𝗔𝗴𝗲𝗻𝘁, an AI-powered language agent designed for gene-set analysis. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙨𝙩𝙪𝙙𝙮: eu1.hubs.ly/H0mglBg0

🦎 𝗪𝗲’𝗿𝗲 𝗵𝗶𝗿𝗶𝗻𝗴! We’re looking for a Marketing coordinator to help us amplify our impact at the intersection of science and strategy. Join the best minds in data-driven life sciences! 🚀 Apply now! eu1.hubs.ly/H0mbmtl0

In our #interesting read today, researchers, using in situ cryo‑electron tomography across four mammalian cell lines, found hemifusomes at the cell periphery, making up ~10% of vesicular organelles. 🔬𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0lTgtZ0

This #interestingread presents a benchmark for 40 single-cell multi-modal integration algorithms involving modalities of DNA, RNA, protein and spatial omics for paired, unpaired and mosaic datasets. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙝𝙚𝙧𝙚: eu1.hubs.ly/H0lThsv0

Today's #interestingread takes a look at 𝗘𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗼𝗿, a generative AI tool for 𝗿𝗮𝗿𝗲 𝗱𝗶𝘀𝗲𝗮𝘀𝗲 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝘀. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙥𝙧𝙚𝙥𝙧𝙞𝙣𝙩 𝙝𝙚𝙧𝙚: eu1.hubs.ly/H0lTfBP0

Our #interestingread for today is all about advancing biological language modeling! 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙩𝙤 𝙚𝙭𝙥𝙡𝙤𝙧𝙚 𝙩𝙝𝙚 𝙛𝙪𝙩𝙪𝙧𝙚 𝙤𝙛 𝙗𝙞𝙤𝙡𝙤𝙜𝙞𝙘𝙖𝙡 𝙡𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙢𝙤𝙙𝙚𝙡𝙞𝙣𝙜: eu1.hubs.ly/H0lxB3y0

🌟 Today's #interestingread dives into the world of single-cell RNA sequencing! This study evaluates the practical aspects and performance of various commercial single-cell RNA sequencing technologies. 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0lxzql0