Platform infrastructure

Introduction
The Open Targets Platform infrastructure stack is composed of multiple elements:
1.Data and evidence generation pipelines
2.Evidence processing and scoring ETL pipelines
3.Globally-distributed GraphQL API
4.Terraform deployment
5.Robust, optimised front-end user interface
GitHub repositories
Data and evidence
​evidence_datasource_parsers: internal pipelines used to generate evidence
​json_schema: evidence object schema used for evidence and association scoring
​OnToma: Python module to map disease or phenotype terms to EFO
Extract, transform, load (ETL)
​platform-input-support: scripts that process and prepare data for our ETL pipelines
​platform-etl-backend: ETL pipelines to generate associations, evidence, and entity indices
​platform-etl-openfda-faers: ETL pipeline to process Open FDA adverse events data
​platform-etl-literature: ETL pipeline to generate similar entities and publications
​platform-output-support: scripts for infrastructure tasks and generating a Platform release
API
​platform-api-beta: GraphQL API
Deployment
​terraform-google-opentargets-platform: scripts to deploy the public version of the Platform
Front-end
​platform-app: front-end web interface
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.
Please review our contribution guidelines and check out the Open Targets Community to get started.
If you have further questions, please email us at [email protected].

GraphQL API

Licence

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Contents

Introduction

GitHub repositories

Data and evidence

Extract, transform, load (ETL)

API

Deployment

Front-end

Open source contributions