We build the argument from independently inspectable layers.
A computational lab for rare-disease mechanism discovery.
We turn fragmented public evidence into reproducible biological arguments and practical experimental priorities.
Our premise
Rare disease is a test of how carefully science can connect evidence.
A variant may be individually rare while the affected cellular program is shared across diseases. Public genomic, single-cell, and phenotype resources now make those shared mechanisms more visible.
REELD exists to find that convergence without erasing uncertainty. We combine computational depth with a strict standard for provenance, replication, and interpretive boundaries.
REELD is a non-profit educational research institute.
A failed transfer defines the boundary of a mechanism.
Releases are designed for reuse, criticism, and extension.
Cell context and direction of effect matter as much as target identity.
“A credible hypothesis should become clearer when its assumptions are exposed.”REELD research principle