🧬 Head of Data Curation, Sari Ward delves into the dedication and expertise behind the curation of our gold standard data 🚀 Her discussion highlights the adaptability of our team of post-doctoral level Scientist Curators, and how this ensures the COSMIC knowledgebase continues to advance cancer research and precision medicine 🩺 We are thrilled to have released more of this gold standard data in our Actionability v13 update available now: bit.ly/3LVjDWw https://bit.ly/3Mw4Lio #Genomics #CancerResearch #DataCuration #PrecisionMedicine
COSMIC (Catalogue of Somatic Mutations in Cancer)’s Post
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Dive into the world of #Genomics with R2! Our open online platform makes data analysis and visualization a breeze for biomedical #researchers. With over 2500 citations in Pubmed, it's trusted worldwide. Explore and re-use public data effortlessly, no coding required! There are already more than 2400 resources publicly available for immediate online exploration. Visit https://r2.amc.nl and get started Today The R2 platform is completely developed within the Amsterdam UMC - Cancer Center Amsterdam ( Amsterdam UMC ) #DataScience #nocode #dataanalytics #FAIR #reuse #cancer #oncology #data #science
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We believe it's time for AI and computational reasoning to empower oncologists in making precise treatment decisions. With an expanding range of treatments, understanding cancer biology and leveraging vast biomedical data is crucial. Discover how technology is transforming cancer care in OncoDaily Dialogue #9 with Istvan Petak, MD, PhD and Roupen Odabashian MD, FRCPC, ABIM. Watch the full interview here: https://lnkd.in/dadYrhWx #OncoDaily #PrecisionOncology #GenomateHealth
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⚡️Speed plays a crucial part especially when you are aiming to publish in high impact journals 📝 🤔Are you still sitting with tonnes of raw data and stucked with the data analysis? Let us help you out to uncover the biological insights from your data in short turnaround time 📊 #singlecelldataanalysis #singlecellanalysis #speedofpublishing #singleron
Thank you Maximilian Merz for the words! Working with Max's team over the past years has been an honor. We are proud to play a part in improving the understanding, and potentially treatment of aggressive blood cancers. Thank you for trusting us to handle the end-to-end single cell workflow for the clinical samples, from sample processing, wet lab analysis, to advanced bioinformatics. We encourage everyone to check out their well-deserved Nature Cancer publication ➡ https://lnkd.in/ekudHyAV PS. Congratulations on another career milestone Maximilian Merz! Singleron wishes you much success in your new role as Professor at Leipzig University Here's to many more following 🎊 #Singleron #UniLeipzig #RNAseq #Bioinformatics #myeloma #bloodcancer
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Notch-Mutated Cancer Genomes in 3D 👀 Attend our webinar on Tuesday, July 30th to hear from guest speaker Dr. Babak Faryabi, University of Pennsylvania, on his work using Oligopaint and super-resolution microscopy to investigate the role of transcription hubs in altering genome folding. ➡️ https://lnkd.in/eBHPTXra Attendees can expect to learn about the power of super-resolution microscopy and chromatin tracing in understanding the three-dimensional structure of the genome in single cells. #genomics #microscopy #cellscience
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Tomorrow! Come to check out posters 316 and 318 in Session 14 at #AACR2024. Learn how you can detect hidden but crucial biomarkers with our Shasta™ NGS technologies!
Going to the American Association for Cancer Research Annual Meeting (#AACR2024) this week? Stop by our booth (2955) to talk to Shuwen Chen, PhD, and learn how to speed up and scale up your cancer research. With the Shasta™ Single-Cell System, we’ve combined state-of-the-art automation, novel NGS library-prep chemistries, and user-friendly bioinformatics tools to give you the single-cell data you’ve always wanted. Also, don’t miss Dr. Chen’s poster (316) on the high-throughput total RNA-seq workflow for the Shasta system! More details: https://ow.ly/6Mbi50R7ESX #NGS #RNAseq #DNAseq #singlecell #cancerresearch
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Senior Research Fellow (Oncology/Spatial Biology) at University of Oxford | PhD in Pharmacy | Quickly comprehends advanced therapies; articulates complex science to experts
AI significantly impacts spatial biology by enabling the analysis of large-scale spatial omics data, as seen through this amazing research initiative- MOSAIC Owkin. This approach helps in understanding complex biology and ensuring precise treatment for patients by analyzing multimodal data from thousands of patients across various cancer indications. There's a lot(!) going on under the hood of cancers, better understanding of the mechanics will = better treatment!
AI driven spatial biology pushed 🚀 ! We have now included 600 patients! MOSAIC research, an Owkin initiative, is pioneering large-scale spatial omics with world-leading academic and industry partners as we build the world's largest oncology dataset with multimodal data from 7,000 patients. Across 5 cancer indications and 6 data modalities, with our partnering cancer research hospitals across Europe and the US - Gustave Roussy CHUV / Centre hospitalier universitaire vaudois, Universitätsklinikum Erlangen, chariteberlin and University of Pittsburgh. Follow the MOSAIC journey as we explore the cross-over between spatial omics and AI to understand complex biology and ensure every patient gets the right treatment. Learn more at www.mosaic-research.com. Congrats to Hubert Chaperon team ad everyone participating!
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I agree that there are enormous opportunities for single-cell technologies in the clinical space, from understanding biological processes and discovering biomarkers to disease diagnosis. However, when it comes to solid tissue cancer, hurdles arise as most of these technologies require tissue dissociation. At Resolve Biosciences, we are developing a game changing single-cell, spatially resolved multi-omic technology that will be an essential tool for whole tissue analysis. Connect with me if you want to learn more. #singlecell #clinicalgenomics #genomics #highresolutionpathology #spatialbiology Image credit: Lim, J., Chin, V., Fairfax, K. et al. Transitioning single-cell genomics into the clinic. Nat Rev Genet 24, 573–584 (2023).
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🤖 Prof. Arcot Sowmya and her team are harnessing the power of machine learning to detect early signs of liver cancer. This research can mean earlier diagnosis, intervention and treatment – all leading to improved survival rates. As UNSW Engineering turns 75, there are just as many reasons why we’ve earned that title. This story is part of 75 stories to celebrate the successes that have enabled progress for all. Read more: https://lnkd.in/geNKxNZk
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🚀 Excited to share our latest perspective paper on "Graph machine learning for integrated multi-omics analysis", now published in the British Journal of Cancer! Collaborating with former colleagues Nektarios (Nek) Valous, Pornpimol Charoentong and Inka Zörnig on my thesis was a rewarding journey, and now we happily share insights into the field. Dive into our publication: https://lnkd.in/eGQiZbkF #Research #Bioinformatics #DataScience
Check out our new perspective on "Graph machine learning for integrated multi-omics analysis", published in the British Journal of Cancer https://lnkd.in/eGQiZbkF
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EOSC4Cancer aims to make diverse types of cancer data available: genomics, imaging, medical, clinical, environmental and socio-economic. The project brings together a consortium of 29 organizations, including cancer research centres, hospitals, and supercomputing centres working to make this cancer data available. To understand how we are working towards achieving this, check out this post! #fairdata #cancerawareness #horizoneurope
