Social & Behavioral Immuno-Oncology
Explore SBioAtlas
A connected home for tools, repositories, networks, and research resources at the intersection of social context, behavior, immune biology, and cancer.
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Tools Database
Interactive research and visualization tools developed for social and behavioral immuno-oncology discovery.
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SDOH Repositories
Curated data resources connecting social determinants of health with cancer biology, treatment, and outcomes.
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REO
A dedicated research environment for organizing and exploring connected SBioAtlas resources.
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Network Explorer
Interactive network views for studying relationships across biological measures, social context, and cancer research.
About SBioAtlas
Our Mission
SBioAtlas connects social and behavioral experiences with immune biology and cancer research to deepen our understanding of how lived environments influence cancer risk, progression, treatment response, and survivorship. Our mission is to bring complex and disconnected datasets together within an accessible discovery platform, enabling researchers to explore relationships across social determinants of health, behavior, molecular pathways, immune function, and clinical outcomes. By making these connections easier to investigate and understand, SBioAtlas aims to accelerate collaborative research, inspire new scientific questions, support more precise prevention and treatment strategies, and advance equitable, individualized cancer care across diverse populations.
About SBioAtlas
Team SBioAtlas
The investigators, data scientists, developers, collaborators, and trainees building SBioAtlas.
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SBioAtlas Investigator Portal
A centralized collection of research datasets, computational analyses, and interactive scientific resources.
Portal administration
Private operational resources for authorized SBioAtlas investigators and administrators.
Research datasets and analyses
Scientific datasets and interactive tools remain separate from portal-administration records.
scRNA Lung Tissue Expression
Compare gene-positive cell populations in lung cancer and adjacent normal lung tissue.
Open explorer →Skin Cancer Studies
Explore survey findings and the Dr. Tarini drug-associated skin-cancer study.
Open study →Cell Line Expression Data
Explore Gene Ontology categories and cell-line gene-expression patterns.
Open explorer →microRNA Expression Data
Explore microRNA, target-gene, treatment, race, passage, and expression relationships.
Open explorer →Bio-Plex Expression Data
Explore serum Bio-Plex analytes, metadata, conditions, and interactive comparisons.
Open explorer →SDOH of Cervical Cancer
Explore cervical-cancer outcomes, social determinants, race-stratified summaries, and survey findings.
Open explorer →Cell Line vs Tissue Comparison
Compare cell-line gene expression with public lung-cancer tissue-stage expression.
Open explorer →CCL20 Evolutionary Analysis
Explore CCL20 protein alignments, organisms, taxonomy, evolutionary lineages, and alignment-set overlap.
Open explorer →