NanoString – GeoMx Digital Spatial Profiler
brown.edu
NanoString – GeoMx Digital Spatial Profiler
From discovery to translational research, the GeoMx DSP is the most flexible and robust spatial biology solution designed to conform to your ever-changing research needs.
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Given the complexity and high dimensionality of the dataset generated by GeoMx DSP, several genomics data analysis tools are available that cater to different research applications. We're excited to announce the new Spatial Omics Overlay tool which allows researchers to directly visualize gene counts directly on a tissue.  https://bit.ly/3AGL5nf #SpatialTranscriptomics #GeoMx #SpatialInformatics | NanoString Technologies | Facebook
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Given the complexity and high dimensionality of the dataset generated by GeoMx DSP, several genomics data analysis tools are available that cater to different research applications. We're excited to announce the new Spatial Omics Overlay tool which allows researchers to directly visualize gene counts directly on a tissue.  https://bit.ly/3AGL5nf #SpatialTranscriptomics #GeoMx #SpatialInformatics | NanoString Technologies | Facebook
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Given the complexity and high dimensionality of the dataset generated by GeoMx DSP, several genomics data analysis tools are available that cater to different research applications. We're excited to announce the new Spatial Omics Overlay tool which allows researchers to directly visualize gene counts directly on a tissue.  https://bit.ly/3AGL5nf #SpatialTranscriptomics #GeoMx #SpatialInformatics | NanoString Technologies | Facebook
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🗓️ Mark your calendars for our upcoming GeoMx DSP webinar on discovery multiomics! Discover how the GeoMx® Digital Spatial Profiler (DSP) uniquely interrogates the whole transcriptome and over 570 proteins from the same slide. Hear from pathologists about their research on tumor-adipocyte interactions and how they are embracing discovery multiomics. Don't miss this chance to gain valuable insights, register now and join us on February 4th 👉https://go.brukerspatialbiology.com/GeoMx-Multiomics-S
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