Performance
Performance Metrics
Benchmarked on production workloads across clinical and research genomic datasets.
< 60s
Latency
End-to-end pipeline execution time on standard reference genomes
94%
Accuracy
Pathogenicity scoring validated against ClinVar benchmarks
AES-256
Security
Military-grade encryption for data at rest and in transit
Architecture
Pipeline Architecture
A four-stage, linearly composable pipeline designed for reproducibility and auditability.
Step 01
Data Ingestion
Raw sequencing data is ingested, validated, and preprocessed through our high-throughput intake pipeline with automatic format detection.
$ seqlytics ingest --input ./sample.fastq --ref hg38Step 02
Alignment & QC
Reads are aligned against reference genomes using accelerated BWA-MEM2 with integrated quality control metrics and adapter trimming.
$ seqlytics align --threads 32 --qc-strictStep 03
Pathogenicity Scoring
Variant-level pathogenicity is scored using a gradient-boosted ensemble trained on ClinVar, gnomAD, and proprietary clinical annotations.
$ seqlytics score --model ensemble-v4 --threshold 0.85Step 04
Structural Protein Modeling
Predicted missense variants are modeled in 3D protein structures to assess functional impact on protein folding and binding domains.
$ seqlytics model --pdb-out ./structures/ --gpuTrust & Compliance
Security & Compliance
Enterprise-grade security built into every layer of the platform.
Independently audited controls for security, availability, processing integrity, and confidentiality.
Full BAA support with PHI encryption, access controls, and audit logging for covered entities.
Data residency options, right-to-erasure workflows, and consent management for EU data subjects.