REELD will exhibit at ASHG 2026 — October 20–24, Montréal.Meet our team at the meeting
Data practice

Public data, with its history intact.

We preserve where data came from, what changed, and where reuse should stop.

The source is part of the result.

Cohort design, reference version, tissue handling, and access terms remain attached to every derived object.

Genomic references

Population variation, gene constraint, transcript consequences, and disease association resources.

Single-cell atlases

Public tissue, organoid, developmental, and disease references with donor-aware analysis.

Phenotype knowledge

Human Phenotype Ontology and disease-gene resources with explicit release tracking.

Functional context

Pathway, interaction, perturbation, and expression resources used as supporting evidence.

Data stewardship

Minimum necessary use

We use only the fields and resolution required for the research question.

Source-aligned terms

Licenses, controlled-access conditions, and attribution requirements travel downstream.

No re-identification

REELD does not attempt to identify participants in public or controlled datasets.

Careful communication

Results are framed to avoid stigmatizing populations or overstating clinical meaning.

Useful public resources

Examples of the infrastructure our field relies on. Resource use depends on each source's current terms.