OpenDVP: an experimental and computational framework for community-empowered deep visual proteomics.

Nimo J; Fritzsche S; Valdes DS; Trinh M; Pentimalli T; Klingeberg M; Schallenberg S; Klauschen F; Herse F; Florian S; Rajewsky N; Coscia F

doi:10.1038/s41592-026-03262-z

OpenDVP: an experimental and computational framework for community-empowered deep visual proteomics.

Nimo J Fritzsche S Valdes DS Trinh M Pentimalli T Klingeberg M Schallenberg S Klauschen F Herse F Florian S Rajewsky N Coscia F

Journal: Nature methods • 2026 Nov

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Subjects & Keywords

# Biomedical Sciences # Life Sciences # Medicine

How to Cite this Article

                    Nimo J, Fritzsche S, Valdes DS, et al. (2026). "OpenDVP: an experimental and computational framework for community-empowered deep visual proteomics.". Nature methods. https://doi.org/10.1038/s41592-026-03262-z                

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Identifiers & Provenance

DOI: 10.1038/s41592-026-03262-z ↗
PMCID: PMC13736673 ↗
PMID: 42918851 ↗
Primary Index: PMC