Almaden Genomics’ Post

Discover how TileDB revolutionizes data integration by unifying various data modalities, code, and computational processes within a single, modern database platform. Explore further at NextGen Omics US 2024 to witness the future of data management in genomics! 🌐 ➡️📖 Find out more about the event: https://hubs.la/Q02lwpjD0 #OGOmics #NextGenOmicsUS24

When was the last time you discussed data challenges in #multiomics research over dinner and drinks? With #BioITExpo just around the corner, here's your chance: 📅 Attend the 🔬 TileDB Multi-omics Dinner in Boston on April 15. Our experts will be there to discuss everything #omics and show you how top life science companies are fast-tracking their #multiomics research without infrastructure hassles on an AI-native database. RSVP here https://hubs.la/Q02rs_dk0 #TheDatabaseForAI

🔬 Dive into the world of #singlecell #geneexpression analysis! Join us for 10x Genomics two-day #webinar series on April 11-12, 2024, at 8:30 am. Learn essential experimental design considerations, master sample preparation techniques, and explore advanced topics like the #GEM-Xtechnology and data analysis pipelines. 🧬📊

Learn more about the AnVIL Project by reading about our vision for genomic data sharing! Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space published in  @CellGenomics  https://lnkd.in/eAywVanY

Hey data enthusiasts! Are you ready to dive into the future of statistical analysis? At GIOMEDEX, we're breaking barriers and reshaping the landscape of data science in bioinformatics and CROs. From decoding complex genetic sequences to optimizing clinical trial data, the possibilities are limitless. Join us on this exhilarating journey as we harness the power of data to drive groundbreaking discoveries and transform industries. What's the most exciting trend in statistical analysis that has caught your eye lately? Share your thoughts below and let's spark some electrifying discussions! #DataScience #StatisticalAnalysis #Bioinformatics #CROs #Innovation #DataAnalytics #Research #Science #GIOMEDEX

One exciting trend in statistical analysis that has caught my eye lately is the integration of machine learning algorithms with traditional statistical methods. This fusion opens up new avenues for predictive modeling, allowing us to extract deeper insights from complex datasets and make more accurate forecasts. The synergy between machine learning and statistics holds immense potential for revolutionizing various fields, from healthcare to finance, by enabling data-driven decision-making on a whole new level....

Check out Genome Web's on-demand conference featuring six sessions dedicated to how organizations leverage large-scale data in biological analysis and the key considerations for conducting extensive research (and IHCC's own Scott Sundseth). Day one covered various genomic and multiomic data science methods aimed at generating biological insights. Experts shared algorithms for comprehensive research, effective data management strategies for genomic and multiomic information, and techniques for integrating diverse data types into workflows. On day two, discussions centered on the ontological aspects of expanding and merging datasets, along with global biobank initiatives that maintain data security while sharing it globally. Discover cutting-edge models for managing large-scale datasets and creating secure ecosystems for multimodal data. Demand form linked here: https://lnkd.in/gcWHvmBM #PrecisionMedicine

🚀 Excited to Share Our Latest Contribution to the Research Community! 🧬 I'm thrilled to announce the publication of our dataset on Pseudomonas aeruginosa Protein on Kaggle. This dataset is the result of a collaborative effort with the brilliant minds of Piyush Mondal, Dr. Sitanath Biswas and Dr. Monish Mukul Das B.Tech, M.Tech, PhD 🔗 Dataset Link: https://lnkd.in/gc3vuAZt Pseudomonas aeruginosa is a Gram-negative bacterium renowned for its remarkable versatility and resilience in various environments. As a common pathogen, especially in healthcare settings, it is a major cause of infections in immunocompromised individuals. The bacterium’s inherent resistance to antibiotics, coupled with its ability to form biofilms, poses a significant public health challenge. Understanding the proteins of Pseudomonas aeruginosa is crucial for unraveling its pathogenic mechanisms and discovering potential therapeutic targets. Our dataset compiles essential physicochemical properties of proteins derived from this bacterium, making it a valuable resource for researchers in bioinformatics, computational biology, and molecular biology. We hope this dataset will aid in driving innovation and discovery in these critical areas of study. A big thank you to my collaborators for their dedication to this project! 🙌 #Research #DataScience #Bioinformatics #PseudomonasAeruginosa #Kaggle #Proteomics #Collaboration #PublicHealth

Turn data into discovery with customized bioinformatic solutions. “Koonkie” are domesticated elephants trained to capture, tame, and manage wild elephants. Our team of bioinformatics specialists are experts in capturing, taming, and managing big, wild data.

Are you using spatial multi-omics for drug target discovery, preclinical development or biomarker discovery? Then you should definitely reach out to the Aspect Analytics team to discuss how they can help you to unlock new insights in your data!