WuXi NextCODE Exchange

Share, Analyze, Solve

Collaborate & validate your findings in real time at raw resolution, with full user control

Data analysis for the whole-genome era

The Exchange is powered by WuXi NextCODE’s unique GOR informatics system. Optimized on whole-genome data from 350,000 people, it standardizes, manages, and queries massive sequence data with unrivalled computational efficiency. You can instantly visualize aligned raw sequence and collaborate and share data – in full compliance with your rules and consents, without transferring big files, straight from your browser.

The sequencing revolution is providing the raw data required to identify the genetic variants underlying rare diseases and complex traits alike. The NextCODE Exchange meets the next challenge: it gives you the world’s most proven sequence analysis platform and enables you to securely and seamlessly collaborate and validate your findings with colleagues and institutions around the world – so you can diagnose more cases and accelerate your research.

A range of user-controlled sharing options

Utilizing standard HPO terms, the Exchange enables a unique range of phenotype-driven sharing options

These let you instantly find samples with overlapping phenotypes; identify control cohorts; confidentially contact potential new collaborators; and provide access to or share raw aligned sequence, all while leaving big data files right where they reside. You can adjust settings for every case, project, or institution for:

  • Full-sample sharing

    Make your current collaborations real-time and more productive than ever

  • No sharing

    Privately use the analysis tools and harmonized public data

  • Blind, aggregate sharing

    A uniquely simple, accurate and compliant way to validate specific findings in specific phenotypes and identify controls

  • Customized portals

    Foundations and disease and patient organizations can host their data on the Exchange, providing approve researchers with seamless access to their collections without the need for data transfer