Open-source workflow makes spatial proteomics easier to use
Fabian Coscia and his team have published in Nature Methods an open-source workflow that makes Deep Visual Proteomics easier to use, adapt and scale. OpenDVP enables scientists to spatially map thousands of proteins inside cells and their cellular environments, while preserving t
Fabian Coscia and his team have published in Nature Methods an open-source workflow that makes Deep Visual Proteomics easier to use, adapt and scale. OpenDVP enables scientists to spatially map thousands of proteins inside cells and their cellular environments, while preserving t This story matters for Science & Discovery readers tracking science. Reported by phys.org. Read the full original at the source link below.
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