Empowering data collaboration in genomics for the benefit of human health
GenX implements Confidential Computing technologies for secure and privacy-preserving multi-party analytics of genomic and medical data.

Confidential Computing is the protection of data-in-use by performing computation in a hardware-based Trusted Execution Environment.
market research
Direct-to-Consumer Genetic Testing Market: trends, problems, open-source solutions
GRAPE — an open-source Genomic Relatedness Detection Pipeline
GRAPE is an end-to-end open-source Genomic RelAtedness detection PipelinE that can be freely used for both scientific and commercial purposes (GitHub, Paper).

GRAPE is accurate for close and distant relatives and is ready for production use.
Confidential Computing approach for secure-by-design data collaboration in genomics
Data collaboration has a disruptive potential to advance personal genomics, both from the scientific and business perspectives.
We are proud to be a resident of Wellcome Genome Campus, home to some of the world's foremost institutes and organisations in genomics and computational biology.
As a General Member of the Confidential Computing Consortium, GenX contributes to the adoption of Confidential Computing technology in genomics.
GenX is backed by BioCity, the largest life-science business accelerator in the UK, and supported by mentoring from senior industry leaders introduced via BioCity Expert Network.

As a Member of the Global Alliance for Genomics and Health, GenX endorses GA4GH best practices, policies, standards and frameworks with respect to handling highly sensitive data.
As a General Member of the Linux Foundation, we stand for software freedom and believe that it is essential to advance efficiency, interoperability, and speed of innovation.
GenX was backed by Microsoft with a two-year grant for a global program that helps B2B companies successfully scale with resources, technology and business mentoring.
info@genx.network
+44 (0) 1223 786 081

AB318, Biodata Innovation Centre, Wellcome Genome Campus, Hinxton, Cambridgeshire, United Kingdom, CB101DR

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