BioLizard @BioLizard_nv
A bioinformatics and AI company providing innovative solutions for all your scientific data needs. lizard.bio Joined July 2019-
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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
Curious how AI is unlocking the secrets of our genome? 🧬 Today’s #interestingread looks at 𝗔𝗹𝗽𝗵𝗮𝗚𝗲𝗻𝗼𝗺𝗲. 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0lnKbv0
Today's #interestingread introduces 𝘀𝗰𝗣𝗥𝗜𝗡𝗧, a model that leverages transformer-based architecture to infer gene regulatory networks from single-cell data. 🔗 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqPtD0
Mondays are for #interestingreads! 𝗖𝗼𝗱𝗼𝗻𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿, a context-aware neural network, addresses the complexities of codon usage bias and provides a versatile tool for synthetic biology. 🔗 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙨𝙩𝙪𝙙𝙮: eu1.hubs.ly/H0jqyM80
Today’s #interestingread dives into how 𝗲𝗻𝘀𝗲𝗺𝗯𝗹𝗲 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 can supercharge the analysis of complex biological systems by integrating multi-omics data. 🌱🧬 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqRs20
Time for another #interestingread! This study introduces the 𝗠𝗜𝗖𝗿𝗢𝗡𝗦 functional connectomics dataset that intricately maps the functional and structural connectivity of the mouse visual cortex. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqy_g0
Our #interestingread for today explores a breakthrough at the intersection of 𝗔𝗜 𝗮𝗻𝗱 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗯𝗶𝗼𝗹𝗼𝗴𝘆. 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqTdg0
Today's #interestingread explores how 𝗘𝗽𝗶𝘁𝗵𝗲𝗹𝗶𝗮𝗹-𝘁𝗼-𝗠𝗲𝘀𝗲𝗻𝗰𝗵𝘆𝗺𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 (𝗘𝗠𝗧). 💡 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqzQD0
Our # interestingread today is about the validation of 𝗧𝘂𝘁𝗶𝘃𝗶𝗮™, a risk assessment tool to 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗲𝗮𝗿𝗹𝘆 𝗮𝗰𝘂𝘁𝗲 𝗿𝗲𝗷𝗲𝗰𝘁𝗶𝗼𝗻 (𝗔𝗥) in kidney transplant recipients. 🧬🩸 📖 𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚: eu1.hubs.ly/H0jqHzp0
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