Immune cell states, signaling networks, and repertoire dynamics
The Immunology area is a research workspace for immune-system datasets and translational immunology studies. Build on computational-biology single-cell and spatial workflows, add immune-specific annotation and state scoring, organize disease cohorts, and prepare for repertoire, cytokine, and communication analyses with reproducible run records.
Use cases
Guided workflows map common questions to data requirements, analysis steps, and documentation — pick the scenario closest to your study.
Use this workflow when you need to summarize immune populations and score immune states.
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Use this workflow to study TCR/BCR clonotypes, expansion, diversity, and overlap.
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Use this workflow to summarize immune signaling between cell populations.
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Use this workflow to compare immune profiles across disease contexts.
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Use this workflow when immune phenotypes are supported by protein, ATAC, cytometry, or multiome data.
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Capabilities
Everything available in the Immunology workspace today — pipelines, explorers, exports, and provenance.