Automated genomic data aggregation and population analysis at scale

Floxgen Aggregator enables research teams and healthcare organizations to aggregate, compare, and analyze genomic variant data across populations—without building and maintaining complex bioinformatics infrastructure. Reduce analysis time from weeks to hours and generate population-level insights faster and at lower cost.

Designed for clinical genomics teams, national genomics programs, and research organizations, Floxgen transforms raw variant data into structured, searchable population datasets.

How it works

Floxgen automates the full aggregation and analysis pipeline:

Upload genomic variant data (VCF files)
Automatically preprocess, annotate, and structure variants
Aggregate variants across cohorts and calculate population frequencies
Create custom populations based on demographics, region, or clinical attributes
Query and compare datasets via web interface or API

This enables rapid comparison of cohorts (e.g., regional populations, disease groups, control datasets) and immediate access to statistically enriched genomic insights.

Key use cases

Population studies – analyze variant frequencies across specific populations (e.g., region, gender, lifestyle factors)
Cohort comparison – compare patient groups against reference populations or control datasets
Patient stratification – identify clinically relevant variants for targeted research or treatment segmentation
Rare variant analysis – detect low-frequency mutations across large datasets

Why Floxgen Aggregator

No vendor lock-in – fully customizable pipelines built on open technologies
Lower cost vs. proprietary solutions – optimize infrastructure and processing strategy
Rapid recomputation – instantly rebuild population datasets as new data becomes available
Flexible deployment – run in cloud or on-premises environments
Built for scale – process and query millions of variants across large cohorts

Built for Microsoft Azure

Floxgen is cloud-native and designed for seamless deployment in Microsoft environments:

Deploy on Azure Kubernetes Service (AKS) or container infrastructure
Scale compute resources dynamically based on workload
Integrate with existing Azure data and analytics services
Support hybrid architectures (cloud + on-premises)

Technology foundation

Floxgen uses production-grade technologies optimized for genomic data processing:

Apache Hail (Spark-based genomic analytics engine)
Elasticsearch for high-performance search and indexing
Python-based backend with GraphQL API
Fully containerized architecture (Docker, Kubernetes)

Integration and deployment

Floxgen integrates easily into existing genomic and clinical systems:

APIs: GraphQL and REST
Data access: JDBC-compatible connections
Deployment options: Azure, AWS, on-premises, or hybrid environments

Organizations can start quickly without redesigning existing pipelines and incrementally extend their genomic analytics capabilities.

Business impact

By automating genomic aggregation and analysis, Floxgen Aggregator:

Reduces time required for population analysis
Eliminates need for in-house bioinformatics infrastructure
Lowers operational and infrastructure costs
Accelerates research cycles and clinical insight generation

Contact our team to discuss your use case: https://www.dnai.ai/floxgen

Floxgen Aggregator

durch DNAi