Algorome transforms raw sequencing data into research-grade biological insights using proprietary probability models.
Genomics is not just about reading code; it's about understanding context. Algorome integrates transcriptomic layers with standard NGS data to reduce ambiguity in variant classification.
Our platform provides clinicians and researchers with high-confidence decision support, moving beyond simple pattern matching to structural causality.
Specialized workflows for diagnostic challenges.
Automate the triage of Variants of Uncertain Significance (VUS) with phenotype-driven prioritization. Our tool generates ACMG-compliant reports ready for clinical review.
Move beyond binary diagnosis. Our severity models analyze modifier genes and non-coding regions to predict disease progression and phenotypic expressivity.
Built for precision and reproducibility.
Analyzing methylation patterns and chromatin accessibility to contextualize gene regulation beyond standard exome sequencing.
Utilizing AlphaFold-derived predictions to assess how specific amino acid substitutions alter protein stability and function.
Our variant caller significantly reduces false positives by weighing population frequency against phenotype specificity.
Data is processed locally within region-specific enclaves to ensure compliance with national health data laws.
GDPR READYAES-256 encryption at rest and TLS 1.3 in transit. We utilize zero-trust architecture for all API endpoints.
ISO 27001 (PENDING)Algorithms are benchmarked against ClinVar and HGMD datasets. Whitepapers available upon request.
VALIDATION: IN PROCESSPartner with us for clinical validation pilots.