Welcome to eTRIKS Labs!

  • eTRIKS Harmonisation Services
    The eHS expedites data loading using a new repository for harmonized data and meta-data...
  • Disease Knowledge Base
    The Disease Knowledge Base is an integrated knowledge repository that provides biological context to...
  • SmartR
    SmartR is aimed to provide a highly dynamic and interactive way of visualizing and...
  • SNF
    SNF is a novel computational method for genomic data integration
    This tool focuses on exploring correlation between probesets in gene expression data, compared with...
  • Patient Input Platform
    Understand the value of data and its reuse, discuss the issues and find the...
  • HiDome
    Create patient cohorts by setting constraints on components in high dimensional data sets.

Reduce the effort needed to integrate

With large, complex datasets becoming the norm staging, exploring and analyzing translational research data can be challenging and resource intensive. eTRIKS is working to change that by providing platforms, services, and guidance for the use and re-use of translational research data.

Our newest development is the creation of an online space, eTRIKS Labs, where new projects that are being worked on will be made available for review and feedback. The intent is for this to be a means of co-creating tools, services, training and guidelines for translational research.

We are launching eTRIKS Labs on October 22nd at the eTRIKS Community meeting which is the day after the TranSMART Foundations Annual meeting. Come see and contribute your ideas about how to better stage, explore, and analyse translational research data.


The eTRIKS Labs modules are offered to the public as freely available resources, for non-commercial research use. Some aspects of these experimental modules may still be under development, and there are no warranties about the completeness, reliability, accuracy, and security of any of the software packages. Please bear this in mind, especially if you wish to analyse personal and/or confidential data. Some of the services provided use public data sources that are available through third parties on the internet – these are identified by links provided under ‘Acknowledgements’ on the respective module pages. If you use or re-distribute these public data for any purposes, you are responsible for adhering to the license requirements of these public data sources.