𝗢𝗺𝗶𝗰𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗿𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗯𝘆 𝗽𝗿𝗼𝘃𝗶𝗱𝗶𝗻𝗴 𝗮 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗺𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 𝗳𝗼𝗿 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹𝘀. This unprecedented level of biological insight is driving a paradigm shift towards precision medicine, where treatments are tailored to each patient's unique genetic, proteomic, and metabolic profile. By elucidating the complex molecular underpinnings of disease, omics are accelerating the discovery of novel therapeutic targets, biomarkers, and personalized treatment strategies. To fully realize the potential of omics, a collaborative approach is essential. Integrating expertise from genomics, proteomics, metabolomics, bioinformatics, and clinical medicine is crucial for translating omics data into actionable clinical insights. Robust data infrastructure and advanced analytics are indispensable for managing the vast and complex omics datasets. Let's work together to unlock the full potential of omics and shape the future of patient-centered care. #omics #multiomics #precisionmedicine #clinicalutility #medicine #healthcare #biomarkers #patientcare
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HAPPENING NOW: Clinical Genomics Webinar Link: https://lnkd.in/g2t-i8JH Topics: 💫 Clinical genomics is transforming the landscape of medicine and healthcare. In the realm of rare diseases, genomics plays a pivotal role in both diagnosis and treatment. In this talk, Mariam Eldesouky is presenting cutting-edge clinical genomic solutions for rare diseases that are ultra-fast and highly precise. 💫 She will showcase the features of GenomeArc Horizon, including long-read whole genome tertiary analysis completed in just 10 minutes, pharmacogenomic insights for over a thousand drugs targeting specific genes, and seamless compatibility with long-read technologies like PacBio and Oxford Nanopore Technologies, as well as short-read platforms such as Illumina and MGI. The talk also hints the integration of multi-omics data, how it is important for clinical genomics, how it provide molecular insights into rare genome variants. 💫 GenomeArc Horizon version 2.0 introducing Horizon Intelligence, a large language model (LLM) that is trained on our data and have deep knowledge on molecular biology and genomics. Contact: www.genomearc.com Email: info@genomearc.com #rarediseases #genomics #genome
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What bioinformatics services does UGenome offer? 02 Identifying Your Mechanism of Action - UGenome AI - Whether you have internal data or not, UGenome AI utilizes bioinformatics pipelines to identify how your target of interest is affecting a specific disease. - We narrow down therapeutic strategies and provide direction for next steps in their experimental design process. #ugenome, #ugenomeai, #ugenomebiotech, #bioinformatics, #biotech, #genetics, #science, #dna, #research, #genomics, #medicine, #immunology, #drugdiscovery, #datascience, #lifesciences, #biostatistics, #health, #pharma, #genomeannotation, #pharmacogenomics, #pharmacogenetics, #genomicmedicine, #sequencing, #dataanalysis, #machinelearning, #precisionmedicine, #metagenomics,
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🚀 Exciting News from the HIDSS4Health Graduate School! The multi-objective optimization framework, DOT, for transferring features across single-cell and different resolutions of spatial omics, led by our PI Julio Saez Rodriguez, is now published in Nature Communications! 🎉 You can access the paper and their work as a free and open-source R implementation here: https://lnkd.in/e78PqGpr https://lnkd.in/e4_reYKV 🔬 The manuscript provides extensive benchmarking and analysis of both deconvolution and localization approaches. DOT consistently achieves top performance across multiple metrics and tasks. 🆕 Since the preprint, new applications have been added, including defining the task of spatial-to-spatial transfer of features beyond cell types - such as anatomical or pathological annotations from adjacent slices or across samples. 💡 DOT also enables the transfer of gene expression from scRNA to high-resolution, lower coverage data (Xenium), complementing available markers within the limits of dependent gene expression. Its performance was validated through ablation studies and using Visium as a low-res proxy. ⚡ The implementation of the multi-objective optimal transport problem (Frank-Wolfe algorithm) makes DOT one of the fastest approaches, scaling linearly with the number of spatial locations and handling the ever-increasing size of available data. #SpatialOmics #SingleCell #MachineLearning #OpenSource #Bioinformatics #NatureCommunications
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What bioinformatics services does UGenome offer? 02 Identifying Your Mechanism of Action - UGenome AI - Whether you have internal data or not, UGenome AI utilizes bioinformatics pipelines to identify how your target of interest is affecting a specific disease. - We narrow down therapeutic strategies and provide direction for next steps in their experimental design process. #ugenome, #ugenomeai, #ugenomebiotech, #bioinformatics, #biotech, #genetics, #science, #dna, #research, #genomics, #medicine, #immunology, #drugdiscovery, #datascience, #lifesciences, #biostatistics, #health, #pharma, #genomeannotation, #pharmacogenomics, #pharmacogenetics, #genomicmedicine, #sequencing, #dataanalysis, #machinelearning, #precisionmedicine, #metagenomics,
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🔬📊 Unveiling the Influence of Dataset Imbalance on Single-Cell Transcriptomic Integration 🔬📊 🔍 Computational methods for integrating single-cell transcriptomic data have revolutionized our understanding of cellular dynamics across different conditions and samples. However, a critical oversight persists: the failure to address imbalances in cell types across datasets. 📌 A groundbreaking study meticulously examines the repercussions of these imbalances on downstream analyses, introducing the Iniquitate pipeline to assess integration robustness. 🛠️ Benchmarking five state-of-the-art integration techniques in 2,600 experiments reveals substantial impacts of sample imbalance on downstream analyses and biological interpretation. Quantification of batch effects, balanced clustering metrics and integration guidelines to mitigate the influence of imbalance. 🔍The Inquinate pipeline and proposed guidelines empower researchers to better characterize and mitigate the influence of imbalance, advancing ability to extract meaningful insights from integrated single-cell data. Link - https://lnkd.in/gVxzdHxJ 🚀 Stay tuned for upcoming webinars and courses! 📚✨ 🌐 Join the journey to discover the limitless possibilities! website: https://lnkd.in/duSKNbeJ Twitter: https://lnkd.in/dKBzuRMQ Instagram: https://lnkd.in/dEezzc_x Youtube: https://lnkd.in/dugyt-Mq LinkedIn: https://lnkd.in/d4vWUK6s #SingleCell #Transcriptomics #DataIntegration #Bioinformatics #BiomedicalResearch
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What bioinformatics services does UGenome offer? 02 Identifying Your Mechanism of Action - UGenome AI - Whether you have internal data or not, UGenome AI utilizes bioinformatics pipelines to identify how your target of interest is affecting a specific disease. - We narrow down therapeutic strategies and provide direction for next steps in their experimental design process. #ugenome, #ugenomeai, #ugenomebiotech, #bioinformatics, #biotech, #genetics, #science, #dna, #research, #genomics, #medicine, #immunology, #drugdiscovery, #datascience, #lifesciences, #biostatistics, #health, #pharma, #genomeannotation, #pharmacogenomics, #pharmacogenetics, #genomicmedicine, #sequencing, #dataanalysis, #machinelearning, #precisionmedicine, #metagenomics,
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🔬 New Single-Cell Data Analysis Approach 🔬 A recent publication in Cell Systems introduces 'Seqtometry', a novel approach for single-cell data analysis that is set to revolutionize our understanding of cellular processes. 🧬 Traditional clustering methods in single-cell analysis often fall short in revealing direct biological characteristics, necessitating extensive subsequent analysis. Seqtometry addresses this by focusing on multi-gene signatures, which effectively describe biological processes across various cell types, surpassing the limitations of individual gene or protein markers. 💡 What sets Seqtometry apart? It employs a relative gene expression scale for competitive scoring, akin to gene set variation analysis (GSVA), but with enhanced speed and scalability tailored for single-cell analysis. This innovative method is particularly adept at handling the often low-quality data typical of single-cell sequencing, thanks to its integration with Markov affinity-based graph imputation of cells (MAGIC). 📊 By enabling cluster-independent analysis based on multiple signature scoring measurements, Seqtometry allows for a more detailed and accurate characterization of cell populations. This approach opens new doors for bioinformaticians and researchers in understanding complex biological systems. 🔗 Dive deeper into this groundbreaking method in the full article: https://buff.ly/3Sq88ex 📢 Join the Conversation 📢 Share your thoughts, methods, and tools in the comments 👇 💬 #Seqtometry #SingleCellAnalysis #Bioinformatics #Genomics #CellSystems #BiotechInnovation #DataScience
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🔬 🤖 Unlock the Future of Genomics Research with DNA Foundation Models! 👉 Register FREE, secure your spot! https://lnkd.in/eE9PSvnJ Join us on October 31st, 2024, from 13:20 - 13:50 at the AI in Drug Discovery Xchange - Maryland 2024 for a cutting-edge spotlight presentation: "DNA Foundation Models Transforming Genomics Research for Target and Lead Discovery." 🧬 Key topics include: 🎯Tackling the challenge of connecting genetic information to observable traits in genomics. 🎯InstaDeep’s Nucleotide Transformer (NT) collection—foundation models pre-trained on DNA sequences—empowering accurate molecular phenotype prediction, even in low-data scenarios. 🎯How NT models prioritize functional genetic variants and regulate gene expression for optimized results in research and discovery. 💡 Industry Expert: Gurnek Singh, Head of Partnerships & Business Development, AI for Life Science - InstaDeep Gurnek is at the forefront of transforming InstaDeep's advanced DNA language models into impactful innovations, including precision cancer therapeutics and groundbreaking crop traits. With his rich background in biotech, AI, and leadership in life sciences, he brings invaluable insights to the table. Don’t miss this opportunity to learn how AI-powered genomics is driving precision medicine and accelerating innovation! 💊 Only available for Senior Scientists and above, from Bio and Pharma companies with a drug pipeline. #Genomics #AIinDrugDiscovery #DNAResearch #BiotechInnovation #PrecisionMedicine #AIForLifeSciences #DeepLearning #DrugDiscovery #AIinHealthcare #Biotechnology #InstaDeep #HealthcareInnovation #MolecularPhenotyping #FoundationModels #Bioinformatics #GeneticVariants #hubXchange #Xchanges #Roundtable #FreePass #RegisterNow #ComplimentaryPass
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🔬 Let's tackle multiomics data challenges “It has been estimated that 50–80% of the time spent working with multiomics data is devoted to cleaning and preprocessing, as you’re working with datasets of different types and determining the best method for integration.” In an article posted by Genetic Engineering & Biotechnology News, our co-founder and CEO, Simon Adar, dives into the significant challenges in multiomics data. To address these issues, Code Ocean has developed a large-scale multiomics computational framework that highlights ✨two key features✨: 🔹Immutable Datasets: Ensuring that once a dataset is prepped, it remains unchanged, providing collaborators with a consistent and reliable data set. 🔹Custom Metadata Features: Simplifying the process of finding and using the correct data by allowing searches by sample, version, data source, etc. Read the full article, "Multiomics couples data generation and clinical science." 👇 https://lnkd.in/ePG2fJDS #Multiomics #DataScience #Bioinformatics #Innovation
Multiomics Couples Data Generation and Clinical Science
genengnews.com
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