SPICA (@spica_db) 's Twitter Profile
SPICA

@spica_db

Swiss Portal for Immune Cell Analysis - A single-cell data resource

ID: 1443487825631010819

linkhttps://spica.unil.ch/ calendar_today30-09-2021 08:11:13

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I can help you interpret your own scRNA-seq data, or data from a published study, for which you wish to have a second opinion

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SPICA's viral infection CD4+ T cell map [spica.unil.ch/refs/viral-CD4…] is now peer-reviewed in eLife - the journal ! 🥳elifesciences.org/articles/76339

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Expression of multiple genes can be simultaneously explored in a reference map using the "multi-gene comparison" functionality, for instance spica.unil.ch/refs/3?genes=C…

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Reference map of human tumor-infiltrating CD8 T cells spica.unil.ch/refs/CD8T_human has been created by semi-supervised data integration approach, now described in doi.org/10.1101/2023.0…