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  • Open Targets Platform
  • Getting started
  • Target
    • Tractability
    • Safety
    • Chemical probes & TEPs
    • Baseline expression
    • Molecular interactions
    • Core Gene Essentiality
    • Pharmacogenetics
  • Disease or Phenotype
    • Clinical signs and symptoms
  • 🆕Variant
  • 🆕Study
  • Drug
    • Clinical Precedence
    • Pharmacovigilance
    • Pharmacogenetics
  • 🆕Credible Set
  • Target–disease evidence
  • Target–disease associations
  • 🆕GWAS & functional genomics
    • Data sources
    • Fine-mapping
    • Colocalisation
    • Locus-to-Gene (L2G)
    • Gentropy
  • Bibliography
  • Web interface
    • Associations on the Fly
    • Target Prioritisation
    • Evidence pages
    • Entity profile pages
  • Data and code access
    • Download datasets
    • Google BigQuery
    • GraphQL API
    • 🆕Platform infrastructure
    • 🆕Data pipeline
  • 🆕FAQs
  • Release notes
  • Citation
  • Licence
    • Terms of use
  • Partner Preview Platform
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  • Introduction
  • GitHub repositories
  • Backend
  • Frontend
  • Deployment
  • Open source contributions

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  1. Data and code access

Platform infrastructure

Overview of the technical infrastructure that supports the Open Targets Platform

PreviousGraphQL APINextData pipeline

Last updated 2 months ago

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Introduction

The Open Targets Platform infrastructure stack is composed of three layers, data, backend and frontend.

  1. Data layer

    1. Opensearch — Contains the bulk of the data

    2. Clickhouse — Contains data related to associations view

  2. Backend layer

    1. API — The main backend application, providing the GraphQL engine

    2. OpenAI-API — The summarizing engine for literature section

  3. Frontend layer

    1. Web — A React SPA web application

Currently this infrastructure is hosted on Google Cloud, using a load-balanced, globally distributed and highly scalable deployment based on Terraform.

GitHub repositories

Backend

Frontend

Deployment

Open source contributions

As a consortium committed to developing open-source, freely available tools that support systematic drug target identification and prioritisation, we actively encourage and accept open source contributions to our various repositories.

— GraphQL API

— OpenAI API router

— Open Targets web applications

— Open Targets Infrastructure definition, scripts in charge of setting up the data layer with the relevant disk images and spinning up the rest of the infrastructure.

Please review and check out the to get started.

If you have further questions, please get in touch with us on the .

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