Deep Scientific Integrations
GeneXplor does more than link to external databases. It structurally integrates their data to generate novel insights.
DeepMind AlphaFold Integration
Bringing predictive structural biology directly into your genomic workflow.
Explore high-accuracy predicted structures of human proteins natively within the dashboard. Toggle between cartoon, surface, and ball-and-stick representations.
Visually distinguish between highly confident folded domains and unstructured, intrinsically disordered regions vital for protein signaling.
When you select a missense variant in the Variant Explorer, GeneXplor instantly highlights that exact amino acid change on the 3D AlphaFold structure, revealing whether it alters an active site or a buried core.
ClinVar x gnomAD Reconciliation
The synergy of clinical assertions and massive population datasets.
We download assertion criteria from ClinVar and juxtapose it directly against exome sequencing data from the Genome Aggregation Database (gnomAD).
If a variant is labeled "Pathogenic" for an autosomal dominant disease in ClinVar but appears in 5% of healthy individuals in gnomAD, it's immediately red-flagged for researcher review.
Pathogenicity can vary by ancestral background. We visualize allele frequencies across 9 distinct geographic populations to ensure your interpretations are ancestrally aware.
Core Reference: Ensembl & UniProt
The foundation of accurate gene modeling and proteomics.
We rely on Ensembl's rigorous genomic coordinates to ensure every variant is mapped to the universally accepted canonical transcript, avoiding HGVSc drift.
By integrating UniProt, we break down proteins into their functional domains (e.g., Kinase, PH domain), enabling researchers to categorize variants by the specific molecular function they disrupt.