Gattaca provides a unified platform that automates ingestion, processing, and quality control of high‑throughput sequencing data from Illumina, Oxford Nanopore, and PacBio instruments. It standardizes pipelines, stores data securely with role‑based access, and integrates via REST, GraphQL, HL7/FHIR APIs to EHRs and analytics tools, enabling reproducible analysis for research and clinical genomics teams.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers and clinicians often contend with fragmented genomic data pipelines, inconsistent quality control, and disparate file formats, which impede timely analysis and hinder reproducibility across research and clinical workflows. These challenges increase operational overhead and raise the risk of data integrity issues when moving large sequencing datasets between systems.
Solution
Gattaca delivers a unified platform that standardizes data ingestion, processing, and quality control using validated bioinformatics pipelines. The system automates workflow orchestration, handling raw reads from multiple sequencing technologies and converting them into uniformly processed datasets. Built‑in QC modules generate standardized metrics and flag outliers, ensuring data reliability before downstream interpretation. A centralized metadata repository links samples, assays, and clinical annotations, enabling seamless cross‑study queries. Scalable storage architecture and role‑based access controls provide secure, compliant handling of sensitive genomic information. RESTful APIs and HL7/FHIR adapters allow integration with electronic health record systems and external analytics tools, supporting both on‑premises and cloud deployments. Interactive dashboards present processed results, variant calls, and summary statistics, facilitating rapid insight extraction for both research and diagnostic teams.
Target Audience
Primary customers are academic genomics laboratories, clinical genetics departments, biotech firms, and hospital networks that require reliable, end‑to‑end management of high‑throughput sequencing data.
Features
- Automated ingestion pipelines for FASTQ, BAM/CRAM, and VCF files from Illumina, Oxford Nanopore, and PacBio platforms
- Configurable, containerized bioinformatics workflows (e.g., BWA‑MEM, GATK, STAR) orchestrated via Kubernetes or Airflow
- Real‑time quality control dashboards with coverage, duplication, and contamination metrics, plus automated flagging of failed runs
- Centralized metadata management linking sample identifiers, phenotypic data, and consent information with version control
- Scalable object storage with encryption at rest and in transit, supporting petabyte‑scale datasets
- Role‑based access control and audit logging to meet HIPAA, GDPR, and ISO 27001 compliance requirements
- Open API suite (REST, GraphQL) and HL7/FHIR connectors for EHR integration and downstream analytics platforms
- Reproducible reporting engine that generates standardized QC reports, variant annotation summaries, and exportable data packages