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Research Areas

Computational BiologySingle-cell, bulk RNA-seq, spatial, and biomarkers
CardiologyCardiovascular signals, cohorts, and interpretationImmunologyImmune cell states, signaling networks, and repertoire dynamicsNeurologyBrain connectivity, functional imaging, and electrophysiologyOncologyTumor microenvironment, immune response, mutations, and survivalPathologyWhole-slide imaging, tissue quantification, and spatial pathology

Application

Documentation

Documentation

Back to studies

Sample data

The current Immunology pipelines include small built-in demo inputs for smoke testing. For real studies, use explicit dataset records and file paths or inline rows.

Minimal composition rows

[
  {"cell_type": "CD8 T cell", "group": "case"},
  {"cell_type": "CD8 T cell", "group": "case"},
  {"cell_type": "B cell", "group": "control"}
]

Minimal repertoire rows

[
  {"sample_id": "s1", "barcode": "c1", "chain": "TRB", "cdr3": "CASSA", "v_gene": "TRBV1", "j_gene": "TRBJ1"},
  {"sample_id": "s2", "barcode": "c2", "chain": "TRB", "cdr3": "CASSA", "v_gene": "TRBV1", "j_gene": "TRBJ1"}
]

Minimal communication rows

Expression:

[
  {"cell_id": "t1", "IFNG": 6, "CXCR3": 2},
  {"cell_id": "m1", "CXCL9": 4, "IFNGR1": 5}
]

Metadata:

[
  {"cell_id": "t1", "cell_type": "T cell", "condition": "case"},
  {"cell_id": "m1", "cell_type": "Myeloid", "condition": "case"}
]

Built-in demos

If a supported analysis is launched without explicit rows or paths, the backend may use built-in demo rows. Demo outputs are useful for route and UI validation but should not be used as study evidence.