For Scientific Research Secure Genetic Data Infrastructure.
Gennext Research offers a reliable and scalable solution for research with its federated architecture, where genetic and epigenetic data are analyzed without leaving the institution.
Federated analysis architecture
Gennext Research uses a federated architecture where genetic and epigenetic data are analyzed without leaving the institution. Data is not shared; the analysis process is securely performed within the organization.
Big data orchestration
Next-generation sequencing and epigenetic datasets are processed rapidly and at scale on high-performance infrastructure.
Anonymized datasets
Research outputs are automatically anonymized and can be safely used for scientific studies.
Gennext Research
Joint Research with Universities
Gennext Research actively collaborates with leading academic institutions in Türkiye in the fields of genetic and epigenetic data analysis.
Projects conducted with Kocaeli University and Acıbadem University contribute to accelerating clinical genomic research and expanding secure data collaboration practices.
Scientific Project Domains
Clinical genomic data analysis
Rare disease research
Oncological variant interpretation
Integrated genetic–epigenetic models
Big data–driven risk analyses
Publications and Research Topics
Ongoing studies and published papers represent the scientific outputs generated using the Gennext Research infrastructure.
Clinical genetic data
Gennext Research enables the secure and rapid analysis of clinical genetic data used in rare diseases, hereditary disorders, and oncology. Large-scale datasets are processed on a high-performance infrastructure.
Longevity predisposition analyses
More than 200 genetic predisposition parameters are provided across health, nutrition, dermatology, and performance domains. These data form a strong foundation for population-level comparisons and longevity-focused research.
Epigenetic aging parameters
Analyses targeting cellular aging rate and epigenetic age scores provide valuable data for longitudinal studies.